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" The goal of data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner [18]. "
Data Mining Methods and Models - 第 xi 頁
Daniel T. Larose 著 - 2006 - 385 頁
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Discovering Knowledge in Data: An Introduction to Data Mining

Daniel T. Larose - 2005 - 240 頁
...technologies as well as statistical and mathematical techniques." There are other definitions: • "Data mining is the analysis of (often large) observational...both understandable and useful to the data owner" (Hand et al. [5]). • "Data mining is an interdisciplinary field bringing togther techniques from...
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Intelligent Data Mining: Techniques and Applications

Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets - 2005 - 536 頁
...information repositories. Reference [13] considers data mining as the analysis of observational data set to find unsuspected relationships and to summarize...both understandable and useful to the data owner. DM business applications can be found in a diverse group of business including for example, banks [32],...
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Foundations of Data Mining and Knowledge Discovery

Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto - 2005 - 400 頁
...patients satisfying (ED(tmn>) A RS(mng)) and not satisfying AJ(sits), etc. The goal of data mining is to find unsuspected relationships and to summarize...are both understandable and useful to the data owner [4]. A problem can arise when the data owner (a physician in our example) gets a set of ARs true in...
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International Encyclopedia of Ergonomics and Human Factors, Second Edition ...

Waldemar Karwowski - 2006 - 1154 頁
...classical data analysis methods. Hand el al. (200 1) made a working definition of data mining: "The data mining is the analysis of (often large) observational...both understandable and useful to the data owner." In this definition, data mining is considered as the analysis methodology to deal with large observational...
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Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Oscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepúlveda Cruz, Witold Pedrycz - 2007 - 626 頁
...etc. The analysis of this information is very important for solving many real problems. The goal of data mining is the analysis of (often large) observational...are both understandable and useful to the data owner [18]. The following list contains the main time series data mining tasks [23, 28]: • Segmentation:...
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Handbook of Computational Intelligence in Manufacturing and Production ...

Laha, Dipak, Mandal, Purnendu - 2007 - 516 頁
...mining as the key step in the KDD process. A more formal and working definition of data mining follows: Data mining is the analysis of (often large) observational...both understandable and useful to the data owner. (Hand, Mannila, & Smyth, 2001, p. 1) The term data mining is really a misnomer, we really do not mine...
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Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

Zdravko Markov, Daniel T. Larose - 2007 - 236 頁
...of Data Mining by David Hand, Heikki Mannila, and Padhraic Smyth (MIT Press, Cambridge, MA, 2001): "Data mining is the analysis of (often large) observational...both understandable and useful to the data owner." Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage demonstrates how to apply...
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Forging New Frontiers: Fuzzy Pioneers I

Masoud Nikravesh, Lofti A. Zadeh - 2007 - 460 頁
...of time series data mining (TSDM) to give them possibility to operate with perceptions. The goal of data mining is the analysis of (often large) observational...are both understandable and useful to the data owner [18]. The following list contains the main time series data mining tasks [23, 1, 3, 12, 13, 16, 19,27,28,36]....
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Case-Based Reasoning on Images and Signals

Petra Perner - 2008 - 442 頁
...mining, and by the conclusion. 6.2 Data Mining and Case-based Reasoning Data mining is the analysis of observational data sets to find unsuspected relationships...are both understandable and useful to the data owner [22]. CBR systems are generally classified as data mining systems simply because they answer this definition....
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Applications and Innovations in Intelligent Systems XV: Proceedings of AI ...

Richard Ellis, Tony Allen, Miltos Petridis - 2007 - 350 頁
...data, notice patterns, devising rules, and making predictions about the future It can be defined as the analysis of (often large) observational data sets...relationships and to summarize the data in novel ways [2]. 2. Inventory Forecasting and Data Mining Inventory control is the activity which organises the...
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