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Data mining
5 pages (1250 words) , Essay
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...data can detect fault equipment with the help of data mining and determine parameters that can help in controlling such activity (Rajaraman & Ullman, 2011). Disadvantages of Data Mining Data mining tools are interactive, understandable and work directly on the data to present results. But, there are many disadvantages that have surfaced with the use of this technology tool. The most widely spread criticism is the breach of privacy of individuals. Tools of data mining are not only used by the organizations and for business purpose but are employed in illegal activities. Personal information is used in unethical way and gives rise to cyber-crimes. The use of social networks, e-commerce forums... DATA...
INFORMATION RETRIEVAL THROUGH MULTI AGENT SYSTEM WITH DATA MINING
6 pages (1500 words) , Research Paper
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...data available regarding these concepts highlight the wide scope of cloud computing and multi-agent systems when used with data mining techniques for information retrieval. Manvi and Venkataran (2004) postulated that software agents, sub category of MAS, are popularly used communications specifically the mobile agent technology. The authors found that MAS has flexible operations, easy to use, adaptable to real environments and wide reliance on the concepts of software engineering. InfoSleuthTM and other relative systems had issues regarding Agents-Communication Language (ACL) and other knowledge domains (Nodine & Chandrasekara, 1999). These systems lacked the capabilities... Research Paper Information...
Data Mining Theory
8 pages (2000 words) , Download 1 , Essay
...Data Mining Theory Institute Data mining is a process of extracting concealed analytical information from huge databases. Additionally, it is a great innovative technology with the extensive power to facilitate businesses to out their attention on the majority significant data and information in their data warehouses framework. In addition, the tools and technologies offered by data mining can forecast future tendencies as well as activities and thus permitting businesses to formulate...
Information Retrieval through Multi-Agent System with Data Mining in Cloud Computing
6 pages (1500 words) , Research Paper
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...data available regarding these concepts highlight the wide scope of cloud computing and multi-agent systems when used with data mining techniques for information retrieval. Manvi and Venkataran (2004) postulated that software agents, sub category of MAS, are popularly used communications specifically the mobile agent technology. The authors found that MAS has flexible operations, easy to use, adaptable to real environments and wide reliance on the concepts of software engineering. InfoSleuthTM and other relative systems had issues regarding Agents-Communication Language (ACL) and other knowledge domains (Nodine & Chandrasekara, 1999). These systems lacked the capabilities to satisfy... ?Research Paper...
Analyzing and contrasting data mining based network intrusion detection system
46 pages (11500 words) , Essay
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...technology of intrusion detection systems. Data mining can be defined as a technique that concerns the uncovering of associations, patterns, anomalies, changes, and statistically important structures and events in a data. Data mining as a technique used in assisting the detection of intrusion in a system can be easily described as the ability to view data and from it interpret patterns or deviations that normally cannot be viewed and seen using a cursory look. This method called data mining wherein patterns in the data streaming are discovered has been called by various names and digital terminologies. Data mining is also called knowledge discovery, information harvesting, data... ?Analyzing and...
Analyzing and contrasting data mining based network intrusion detection
48 pages (12000 words) , Thesis
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...data mining-based network intrusion detection systems: What are the terms data mining and intrusion detection? What is the purpose of data mining? What types of attacks are made on networks? What are the problems that data mining solves for network intrusion detection? Why do we have to secure our data from threats or intrusions? Are there any advantages for using data mining technologies? How have different authors solved the problems of network intrusion detection using data mining? This thesis is organized as follows: Chapter 2 will discuss data mining and the significance of IDSs for network security. This discussion will be followed by a discussion on a few of the drawbacks... ?Analyzing and...
Assistive Technology: Advantages and Disadvantages
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...Technologies- Advantages and Disadvantage Research Study Assistive Technologies- Advantages andDisadvantage Research Study 1. Introduction Technology has intervened in every walk of life and has introduced revolutionary changes in the lifestyles of humans. The field of education is no different; innovative technologies have made their way into the classrooms and other modes of education that are being followed by the academicians in the prevailing times. Assistive technologies are also counted amongst these inventions of the modern era since they facilitate the acquisition of education by students who have disabilities. This field is an emerging one and is attaining the attention... of...
Data mining
12 pages (3000 words) , Download 1 , Essay
...Disadvantages The assumptions about independent nonlinear variables that exist in each class contained in this algorithm’s model may likely be unduly restrictive. It has relatively low predictive accuracy. 4. The Apriori Algorithm This data mining Algorithm works by finding frequent item sets from any transaction dataset and from it deriving association rules. This algorithm (Apriori) is classified as a seminal algorithm which helps in finding frequent item sets by the use of candidate generation. Advantages It implements level-wise comprehensive search algorithm using frequent item property. It is cable of using large item set property... ? Data Mining Data mining Data mining can be defined as a of...
Data mining
4 pages (1000 words) , Essay
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...data sets (Vaidya et al, 2006). For instance, when studying the spread of disease in a given community, it will be easy for the public to learn about a certain individual in the given data sets. The public can easily make conclusion about the data leading to the threat of privacy. Validity Stereotype concern is not valid for the data mining tools since it does not arise from the actual process. This is because Stereotypes in the data mining process arise from the perception possessed by the studied communities and not the technology used. Concern about combination of patterns is valid since the data obtained about the data sets can depict the information about a given subject... ? Data mining QUESTION...
Data mining
2 pages (500 words) , Essay
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...Data Mining Data Mining At the beginning of the 21st century, organizations depend upon information technology unsuccessful use of information systems management. First and foremost, the applications that are developed and acquired must deliver benefits to the user. Data mining is defined as: “a decision support process in which we search for patterns of information in data” (Pushpa 2007, p. 1). Depending on the exact nature of the tasks that organization performs, these could be anything. It is not possible to give specific advice, but there are four general principles that generally apply: every application must deliver benefits to the users; users must feel comfortable with the way... Running Head...
Data Mining
4 pages (1000 words) , Download 1 , Assignment
...Data mining Data Mining Data mining is the latest and the most powerful technology, and that have great potential in helping companies to focus only on the most vital information in the collected data on the behavior, of their potential customers and their current customers (Olson & Delen, 2008). This method gets the data that can’t be obtained through reports and queries with a high level of effectiveness. This can also be referred to as the computer assistance in digging for and analyzing data and...
Data Mining
10 pages (2500 words) , Essay
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...Data Mining Introduction Data mining is a key technology development in the sphere of data extraction. It is defined as the automated extraction of hidden predictive information from large and very large databases. Data helps managers to make intelligent decisions. Data mining helps in providing predictive information allowing the manager to be more proactive than being reactive to situations. Data mining is not just a collection of data; it is a...
Data Warehousing & Data Mining
3 pages (750 words) , Download 1 , Assignment
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...data warehouse development? Organizations are moving towards implementation of data warehousing as reformation strategy. The health sector has been reluctant in the application of information technology and information system. Therefore, implementation of data warehousing can be viewed as a competitive advantage to the health sector. Data warehousing has numerous advantages to a health organization. Ideally, data warehousing is meant to promote comparability of clinical data, which is a significant aspect in the health sector. Before and during data warehouse development, organizations need to consider various... ?Data Warehousing & Data Mining a. Why are organizations moving toward implementation of...
Data Mining
1 pages (250 words) , Essay
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...Data Mining Data Mining is a part of a larger process of knowledge discovery and it is the process by which data is automatically extracted in order to provide useful information that is predictive in nature and which may not have been known previously. 2. There are three steps in Data Mining. The first is Discovery, or the practice of examining data without a pre-determined hypothesis, in order to discover patterns in it. The discovery stage may occur by classification of data on the basis of clusters, association...
Data Mining
5 pages (1250 words) , Research Paper
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...information on computers. Significant improvements have been witnessed in data access and generated technologies, which allow users to search their data, in real time (Williams & Simoff, 2006). Data mining software is currently available for use, in the business world, because of the three technologies that support it, and they include data mining algorithms, massive data collection, and powerful multiprocessor computers (Williams & Simoff, 2006). The amount of raw data stored in business databases is...
Data Mining
5 pages (1250 words) , Research Paper
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...information from a database. (2) Genetic algorithm is based on the concepts of mutation, natural selection, and genetic combination (Han et al. 2011). Real-World Examples An organization’s customer care department can dig into its customer-call database in order to manage its communications network effectively. It is possible to discover certain unmet customer needs through its data mining technology. The information gathered can be used to predict the additional services that should be incorporated in its communication network. The ability to discover changes, in customers’ needs and preferences, is a vital tool in giving a business a competitive advantage... ? Data Mining Introduction Data mining, also ...
Data Mining
2 pages (500 words) , Lab Report
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...Data mining June 18, Data mining The survey aimed at developing information on backgrounds for informing teaching practices. Gender, number of previous data science courses by a student, students’ self assessed data mining efficiency, future career goals, geo-location, and preference for a one by one virtual meeting were the study’s variables. Data issues to the collected data, cleaning and analysis results are discussed. SPSS software was used for analysis. Data issues and...
Data mining
8 pages (2000 words) , Essay
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...Mining Techniques Success of marketing programs of E-commerce websites relies on the availability data. The number of dimensions of customer data and the number of records play a crucial role in data-mining. Individual customer data can be used to alter the marketing programs accordingly and for a better customer relationship management (Dyche, 2005). The heart of customer relationship management (CRM) and personalized marketing programs is data-mining. Spikes can understand the customer’s behavior and preferences by using CRM technologies such as database mining and personalization tools (Dyche, 2005). Data-mining tools and techniques will also allow Spikes to predict the future behavior... Database...
Data Mining
1 pages (250 words) , Essay
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...DATA MINING Data mining can be defined as a process of analyzing data from different perspectives, different dimensions or angles, categorizing it and summarizing the relationships identified into useful information by use of data mining software. The software helps to find the correlation of data in a large rational database. Examples of data mining software are oracle, Microsoft SQL Server 2012 and SAS. SOLUTION BY VENDORS Axciom Corporation: it does provide a wide range of information...
Data mining
17 pages (4250 words) , Download 2 , Research Paper
...Technology has increased the avenues through which people commit crimes. Poor data collection methods therefore lead to inadequate information regarding the subject of interest. The procedures used in data collection are neither advanced enough nor are they intelligent to be able to extract only the relevant data and process the same effectively to acquire new knowledge. Data mining algorithms are applied cross different frame work. The same algorithms will use acquired knowledge to determine which data is needed while at the same time providing efficient...
DATA MINING
5 pages (1250 words) , Research Paper
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...Data Mining Data Mining Predictive analytics involves predicting what each is likely to do ahead by utilizingthe information collected about them. Admittedly, data mining becomes useful in a variety of ways when predictive analytics is applied. The first advantage is effective product recommendation. It is possible to identify what are the preferences of each customer from the available statistics. Using this, it is possible to contact each customer when there is something that will interest them. In fact, the early stages of predictive analytics involve product recommendations and behavioral targeting. Another advantage is the possibility of behavior-based advertising. In order to achieve... ...
Data Mining
1 pages (250 words) , Essay
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...Data Mining Data mining is the process used by the firms to extract underlying information stored in the vast amount of data they have about their customers. This information extracted is used mainly for marketing purposes. Steps in Data Mining: Data mining can be oriented to for three paradigms: discovery, predictive and forensic. In discovery driven method, the data is scoured to identify patterns and hidden information. Future values of unknown variables are ‘guessed’...
Data Mining
4 pages (1000 words) , Essay
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...Data mining has different components, but the most significant is defining the problem, evaluating the available data and developing predictive models. (b). Associations discovery for the commodities sold to consumers helps the retailer or other business to capture the unique identifier of a given product. Through capturing this information, the seller is able to analyze the data, so that they can learn the purchasing behavior of their customers. The information derived is used to support business-related strategies and applications like... ? Data Mining School a). Using predictive analytics to comprehend behaviors: To remain competitive within the market, sellers need to comprehend present consumer...
Ethical dilemma: Data Mining of customer information by IT workers
6 pages (1500 words) , Essay
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...Data Mining Information by IT Workers Module Data Mining Information by IT Workers Nowadays, companies have various ways of collect personal data from their customers as they use the Automated Teller Machines, browse certain web sites, purchase items, and use their credit or debit cards to make transactions. The companies collect data for analysis in order to generate information that helps in customer profiling, which is used in marketing the company’s products and enhancing the customer’s experience. The process of analyzing the customer’s data to seek for hidden or new patterns and practices is called data mining (Shermach, 2006). Information Technology workers are tasked with the process...
Technology Brought Both Advantages and Disadvantages to Students
8 pages (2000 words) , Research Paper
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...Technology brought both advantages and disadvantages to Introduction The widespread development in technology has been felt in large measures in almost every sector, from information, to communication, to education, among others; technological innovations have been applied in all these areas, thereby leading to great transformations and alteration in the way of doing things. This century has seen both a massive growth and development of technological innovations that have revolutionized sectors, from production, to service delivery; in the education sector; for instance,...
Data Mining (mining for gold)
2 pages (500 words) , Assignment
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...mining are: Issues relating to security of the information obtained by companies about individual customers. This information is prone to crimes such as hacking creating major security concern for both customers and companies. Information obtained of various customers can be used in unethical ways. This information can be used in issues such as discriminating, etc. Many customer do not give out their information easily because of privacy complains. This way it is not possible to accurately draw relationship or trend in any particular data as the data may...
Data Mining for Auditing
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...Data Mining for Auditing Contents of the Report Introduction Auditing: An Introduction to the Problem Domain The Solution to the Problem Data Mining: An Introduction Integration of Data Mining with Auditing Introduction The transition of the applied information technology from the primitive file processing systems to sophisticated database systems can be tracked to 1960s. The evolution of the relational database systems coupled with development of data modelling, indexing and organisational techniques have led to the massive utilisation...
Data Warehouse
5 pages (750 words) , Essay
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...Information Integration (Accentual Data Stage), Ab Initio, Informatica, and Talent. Technology We Can Invest in Suite Spot One strategy that can help Suite Spot in their decision making process is that of CRM (Customer Relationship Management). For organization long term profitability it is very important that it must maintain long term relation to its customers. CRM integrates the concepts of Knowledge Management, Data Mining, and Data Warehousing in order to support the organization’s decision-making process to retain long- term and profitable relationships with its customers. This is an important application that will enable an organization to understand the customer dynamics...  Data...
Data Mining Techniques
10 pages (2500 words) , Download 1 , Essay
...Data Mining Techniques By Table of Contents Introduction 3 2.Data Mining Techniques 5 A. Statistical Techniques 5 B.Similarity Measures 8 C.Decision Trees 10 D.Neural Networks 12 E.Genetic Algorithms 14 F.K-Means Clustering 15 3.Conclusion 16 4.References 17 1. Introduction Data Mining is an iterative and interactive discovery process required by organizations that generate huge volumes of data daily and require analysis on the fly. The decision support system is required to provide information to queries such as finding all cases of fraud, finding the...
Data Mining College Essay
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...Data Mining Introduction Data mining is a key technology development in the sphere of data extraction. It is defined as the automated extraction of hidden predictive information from large and very large databases. Data helps managers to make intelligent decisions. Data mining helps in providing predictive information allowing the manager to be more proactive than being reactive to situations. Data mining is not just a collection of data; it is a...
Data Mining Essay
6 pages (1500 words) , Essay
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...data easily retrieved, interpreted, sorted and accessible by analysts. Though this device largely helps analysts, sorting and storing data are not enough to make most out of these data. They still cannot provide us a clear picture on what is really going on in the firm and in the market (Alexander, n.d.). Data Fusion and Data Mining Turning numerous data into significant information is the aim of one of the latest technological breakthroughs in computers known as data fusion and data mining. These technologies enable firms to automatically search millions of data that they receive every day "for patterns using tools such as classification, association rule mining, clustering, etc. (Data... At a period...
Data Mining and Big Data
2 pages (500 words) , Assignment
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...data, makes the International Business Machines (IBM) come out as one of organizations with a high quality ‘Big data’ hub. At this company’s ‘Big data’ hub, large volumes of information are handled, which are actually very hard to process in a traditional database. The data hub is composed is of data mining engines integrated to aid in easy handling of data. The integration of data mining in IBM has made very easy and fast for the company to manage and process data in its globally placed (using cloud technology) immense data warehouses. Thus, this makes it clear that although the data is large, it is realistically the simplest and easily tolerable data volumes in data mining... 2 May Do you agree with...
Data Warehousing and data mining
10 pages (2500 words) , Research Paper
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...Data Warehousing and Data Mining Data Warehousing and Data Mining: A Research Paper goes here Professional Specialization Name of your professor Date Introduction We are living in an information age and states around the globe are advancing rapidly towards information driven knowledge base economies. The increased use of information technology in every spheres of life is generating huge amount of data every day. However, there is an increase realization among information scientists that knowledge and power that should have been extracted from these huge information resources is far lesser than its capacity and most of the data collected globally each day by billions of information... ?Running Head: Data...
Data Warehousing and Data Mining
6 pages (1500 words) , Essay
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...data mining is techniques, tools, user involvement, performance and various types of data. A comprehensive discussion for each of them is as follows: 1.1 Methods of Mining and Interaction Concerns This issue pertains to the information extracted from databases and reviews the capability to gain information, as it focuses on mining information at many levels, the usability of issues associated with domains along with knowledge conception. 1.2 Mining several kinds of Information There are several different criteria that should be addressed by data associated with variety of data analysis and information discovery jobs. Moreover... ? Full Paper Data Mining 3NF is usually recommended for a corporate...
Data Warehousing and Mining
18 pages (4500 words) , Essay
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...TECHNOLOGIES ON DATA WAREHOUSING AND DATA MINING The complicated nature of data mining practices and the size of corporate data require performance that could be simply derived from very influential parallel computing systems and applications. Additionally, in case of data mining parallel processing produces consequential advantages by spreading the working load on numerous processors, minimizing system expenses without forfeiting outcome. In addition, for the data mining parallel computing technology offers huge performance enhancement to the data warehousing practice by allowing the users to divide... ? Data Warehousing and Mining By Table of Contents INTRODUCTION Data mining refers to the method of...
Data mining Assignment
9 pages (2250 words) , Download 1 , Essay
...data mining, one is capable of determining the hot spots which are the target for these crimes. Due to increased technology in businesses, application of computer science Information Technology would help solve this phenomenon (Borzykowski, 2012 p. 34). Efficient fraud detection unveils suspicious behaviors providing alarms to the organization.Cases of fraud experienced in data mining are collected (Tan, 2013, p.345). Metrics for calculating the fraud data are designed and an automated mode of their calculation is developed. Finally the IT expert’s develops a detection... ? DATA MINING Credit fraud involves all crimes committed using a credit card during payments or transactions. The crime is based on...
DATA MINING AND VISUALISATION
5 pages (1250 words) , Essay
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...Data Mining And Visualization Given the rapid development in the internet, the distributed databases have increasingly become commonly used environment in many areas (Givano, 2003). Evidently, it has become a critical task to the mine association rules in the distributed databases. An Algorithm is defined as a definite list of defined set of instructions used for completing a certain task. Provided there is an initial state, it proceeds through a clearly defined series of states eventually terminating in the end state. The concept behind the algorithm has its origin in the recording procedures used in solving mathematical problems. Name of Algorithm: Eulid’s Algorithm Criteria of the Eulid’s...
Data Mining Assignment
4 pages (1000 words) , Assignment
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...data mining has continued to evolve, its impact on personal privacy has become more complex and has also raised controversies. Some of the privacy concerns include; 1. Profile creation: Data mining technologies normally contain both non identification and identification information about individuals. Such information includes; individual names, there security number, driver’s license number, gender, physical attributes, education background and age. The valid concern is that such information readily available in data mining techniques allow for the aggregation in that individual profiles can be easily created using such information and the profile taken to disparate systems... such...
From Jam: Data Mining
12 pages (3000 words) , Essay
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...data mining technologies that are been currently used (or could be considered for use) in general in crime prevention and detecting could be said to be as follows: 1. Forensic analysis and DNA Testing 2. Electronic tagging 3. Wireless and Micro-processor based alarm systems 4. Explosion detection and aborting devices 5. Image processing and recognition of persons through Closed Circuit Cameras (CCTV) and mobile cameras 6. Cryptography – enhancing and encryption devices. 7. High security facility for confidential transactions and highly classified sensitive documents 8. Digital watermarks 9. Biometric technology 10. Product security or brand marking protection devices It is believed... Part Q The data...
Book review Andrew C Isenberg 2005. Mining California: An Ecological History
6 pages (1500 words) , Book Report/Review
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...technology but it can be sourced back in the early 1849-1874 when gold mining started in California. Andrew Isenberg, a reputed historian has enlightened us with facts that are truly significant to determine the hazards faced by nature and the sacrifice it has made in order to support industrialization. The environmental historian has also pointed out that the counter effects from nature is too harsh to deal with and has portrayed the massive effects of flood which washed away California’s forest and grassland leaving no trace of it. The interest of the author in the history of the North American west can be spotted by the amount of data the author have used to discuss his... ? BOOK REVIEW Mining...
Advantages & Disadvantages of JavaScript
2 pages (500 words) , Essay
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...Advantages & Disadvantages of JavaScript Introduction: JavaScript is a dynamic form of computer language which is used in the purpose of programming. JavaScript has emerged as a leading language that has been used frequently because of its feasibility to target audience. JavaScript had reached a new level of popularity after its adoption from Microsoft as a diverse language for scripting on client side. Due to increment in programming presently, deeper effects of JavaScript has been highlighted regarding its advantages and disadvantages (Quigley, 2004, p. 1). Advantages & Disadvantages of JavaScript: In order to enhance the aspect of functions performed by any website, JavaScript is hugely...
Evaluate the advantages and disadvantages of the various methods for providing near real time traffic information.
8 pages (2000 words) , Dissertation
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...information to its customers (Innovate 2013). SpeedWaves technology is also used by the company that considers the controls of traffic roads, speeds of vehicles, and signals for providing traffic information to its customers. As a result, the information that is collected and provided to the customers is almost accurate thus giving near real time traffic updates. Advantages also include better options for routing and navigations for the customers. Applications on mobile phones have benefits as mobile phones are regularly used by customers. Thus with traffic information being available on...
Data Mining for E-Commerce
15 pages (3750 words) , Download 1 , Research Paper
...advantages in better customer tracking, buying behavior analysis, market segmentation, targeting customers, and most especially in web based advertisement. This paper presents an analysis of data mining in terms of its implementation for e-commerce systems. The basic purpose of this research is to analyze the use of data mining for e-commerce. This paper will also outline the main areas of implementation, techniques, and potential advantages obtained through this technology. Introduction Data mining is a detailed process which allows the extraction of hidden, formerly unidentified, and actually functional knowledge and information from a huge collection of data. The majority... ?Running head: data mining ...
Data Mining Questions
4 pages (1000 words) , Essay
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...information retrieval and data mining queries. What metrics are used to measure the performance of each type of query References: Wikipedia, Online Free Encyclopedia. Database refers to a structured compilation of data stored... 1 Consider the ments below: The only diseases that cause severe fatigue are diabetes, Aids and Ebola fever. 60% of people with Aids have severe fatigue. 50% of people with diabetes have severe fatigue. 80% of people with Ebola fever have severe fatigue. There is a 1%chance of someone in a given population having diabetes (given no evidence for or against). There is a 1%chance of them having Aids. There is a 0.05%chance of them having Ebola fever. Compute the probability that on...
What are the advantages and disadvantages to outsourcing ROI (Release of Information)?
2 pages (500 words) , Research Paper
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...Advantages and disadvantages to outsourcing ROI (Release of Information)? For many companies, release of information (ROI) is a considerably tough task in that it has to be regulated and controlled, despite the fact that hospitals and such other organizations of huge public concern are required to release their records in order to facilitate national research and development process by law. In addition to its sensitive nature, what further complicates the matter is the unlimited number of requests coming from public and government officials that these organizations have to address while maintaining their anonymousness....
Research Paper - Solar Technology, system, advantages and disadvantages to the world
5 pages (1250 words) , Research Paper
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...technology were themselves very expensive that slowed down the process of development of solar technology on large scale. However, advancements in the information technology have now able to reduce the prices by approximately twenty-five percent that is a noteworthy achievement of experts in the field of solar technology. In the year 2007, one of the credible institutes specified that there has been more than thirty percent of increment in the production of Photovoltaic devices, and that solar technology has resulted in emergence of solar technology industry on global level (Bradford, pp. 23-25, 2006). Another major advantage of solar technology is observable in remote locations... annually...
Data Mining and Web Personalization
8 pages (2000 words) , Essay
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...Data Mining and Web Personalization College Introduction to Web Personalization Web personalization is a business solution that is becoming more involved as technology advances and consumers are able to be more selective in how they pursue business relationships. Web personalization is any action that customizes the content or services provided by a web site to a particular user or users. This system allows companies to provide users with the content and products that they need without having to specifically request the information from the site (Eirinaki & Vazirgiannis, 2003). Business Problems One of the major...
Admission proposal (Topic Data Mining)
2 pages (500 words) , Research Proposal
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...data mining January 21, Research proposal: Developing a legal and ethical framework for sound data mining Information technology has aided data use in different fields in which extraction and analysis of data offer bases for informed decisions and therefore facilitate efficiency in professional activities. Organizations’ desire to have competitive advantage has mediated applications such as data mining that face environmental challenges like morality, reliability, and validity, especially in the absence of legal or ethical governance. These concerns identify the need to develop a regulatory framework for data mining in order... Research proposal: Developing a legal and ethical framework for sound data...
Data warehouse and data mining in business
5 pages (1250 words) , Essay
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...information technology has revolutionized business. Market analysis refers to the study and acquisition of the market trends and activities associated with the market. When analyzing the market, the firm uses various methods. The most effective is data mining and various tools are used to facilitate it. Patterns are developed using data mining where graphic visualization combine with statistical analysis and refinement to produce the desired market tend or activity. The combination of the three provides for a pattern extraction from large sets of data which combine with various factors to provide emerge with a market... Data Warehouse and Data Mining TABLE OF CONTENT 1 INTRODUCTION AND HISTORY 2 MARKET...
Enterprise Data Warehousing and Data Mining
3 pages (750 words) , Coursework
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...Data Warehousing and Data Mining (First sur no qualifications like Dr. College Position in organisation Place of author Implications of Using Data Warehousing and Mining Systems Abstract “Technology is notoriously fragile. If our cars were as unreliable as our PC’s we’d walk everywhere. Extract, Stated by Peregrine (April 2011) Users’ trying to find information on their companies IS systems very often take the attitude shown by the quote above. There are problems with data held by a company’s database, how to find and get the relevant information, so much complex data is held it can be difficult to find precisely what is needed for a report on a particular question, to make a better... ? Enterprise Data...
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