Data Mining

HCI International 2009: 13th International Conference, HCI

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The results found for the national level were quite accurate, scoring an average error of 0.28% with a standard deviation of 0.23%. The formula therefore would be estimating ICD using the ICD from the previous month and on the optimal index for the current and previous months. For example, a retailer generates an association rule that shows that 70% of time milk is sold with bread and only 30% of times biscuits are sold with bread.
Data Mining

8th Siam International Conference on Data Mining 2008

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And, they could make sure beer and diapers were sold at full price on Thursdays. In general, in classification you have a set of predefined classes and want to know which class a new object belongs to. If you have questions, contact us at mail@edrm.net. With one click, Envision�s marketers can move into campaign management�. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.
Data Mining

Mathematical Tools for Data Mining: Set Theory, Partial

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PLS will compute all the standard results for a partial least squares analysis, and also offers a large number of results options and in particular graphics options that are usually not available in other implementations; for example, graphs of parameter values as a function of the number of components, two-dimensional plots for all output statistics (parameters, factor loadings, etc.), two-dimensional plots for all residuals statistics, etc. In general, today's distributors of mass mailings use data-mining tools.
Data Mining

Advances in Database Technology -- EDBT 2006: 10

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Decision trees also produce rules but in a very different way than rule induction systems. The average number of itemsets per sequence is13.33. Suppose that a data warehouse for Big University consists of the four dimensions student, course, semester, and instructor, and two measures count and avg grade. S. government could help investigators identify and deter a range of terrorist acts, including cyberattacks, analysts say.
Data Mining

Data Mining for Bioinformatics

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Please keep your comments on topic with the article. Ordering takeout proves that you live where you say you do, and that helps lenders uncover the crook who claims to live in the property he is trying to refinance when he really lives hundreds of miles away. In fact each predictor (or database column) that is used can be considered to be a new dimension. How much like a human brain is the neural network? From the earliest days of commercial computing, there has been a tremendous interest in developing “thinking machines” that can process large amounts of data and make decisions based on that analysis.
Data Mining

Towards Autonomous Robotic Systems: 17th Annual Conference,

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RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time. Extensive and flexible options for specifying planned comparisons are provided including facilities to specify contrasts using either the traditional command syntax or an extremely simple to use (Wizard-style) sequence of "intelligent" contrast dialogs (you can enter contrast coefficients for clearly labeled levels of factors or cells in the design; the program will then evaluate the comparison for the least squares ("predicted") means, i.e., for the means as predicted by and consistent with the current model; this is a unique solution to the problem of planned comparisons in complex and incomplete designs); simple ways to test linear combinations of parameter estimates (e.g., to test for the equality of specific regression coefficients); specifications of custom error terms and effects; comprehensive post-hoc comparison methods for between group effects as well as repeated measures effects, and the interactions between repeated measures and between effects including: Fisher LSD, Bonferroni, Scheffé, Tukey HSD, Unequal N HSD, Newman Keuls, Duncan, and Dunnett's test (with flexible options for estimating the appropriate error terms for those tests), tests of assumptions (e.g., Levene's test, plots of means vs. standard deviations, etc.).
Data Mining

Fact Oriented Modeling with FCO-IM: Capturing Business

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Since the most strongly corrosive or non-corrosive substances quickly gravitated to their respective extremes, and the substances in between were scored to reveal a gradation of corrosivity, Unilever was able to create a more complete way to test for corrosive substances in new products.... Apparently, the administration does not take kindly to having its alleged violations of the law exposed. Financial Analysis CS reviews and compares a client's financial position with business peers or industry standards.
Data Mining

Data Analysis (Digital Signal and Image Processing)

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Furthermore, the terrorists' records probably didn't show that they had been in the country for only two years; that is knowledge the FBI brought to the search. This study only used one feature selection method narrowing down the 50 million most popular search queries down to 45; the results achieved maybe could have been improved upon if other techniques were used to determine an optimal set other than the chosen 45. Fast-forward to today and Celonis has more than 200 customers across 15 industries in 25 countries — including global Fortune 500 companies such as Siemens, KPMG, Deloitte, Bayer and Vodafone, plus a range of mid-sized customers.
Data Mining

Rapid Graphs with Tableau 8: The Original Guide for the

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Prediction can also be used for identification of distribution trends based on available data. That way, today's big data will change tomorrow's biology and medicine. You may enroll in online courses at any time. Managers can ask questions such as which are the most profitable customer segments and get answers in real-time that can be used to help make short-term business decisions and longer term plans. In order to examine the truth (or lack thereof) in this line of thinking, we need to start with the basics.
Data Mining

Fuzzy Logic and Information Fusion: To commemorate the 70th

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These studies are only a taste of the future possibilities that could be achieved through data mining and analysis of Big Data for Health Informatics. Thousands of applications of RapidMiner in more than 40 countries give their users a competitive edge. Originally developed by IBM in the early 1970s and later developed commercially by Relational Software, Inc. (now Oracle Corporation). With a foundation that integrates multiple data sources and can transition workloads across on-premise and cloud boundaries.