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2. Suppose that you are employed as a data mining consultant for an In-ternet search engine company. Describe how data mining can help the company by giving specific examples of how techniques, such as clus-tering, classification, association rule mining, and anomaly detection can be applied. The following are examples of possible answers.

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Jun 08,  · Introduction To Data Mining by Tan, Pang Ning/ Steinbach, Michael/ Kumar, Vipin/ Karpatne, Anuj Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors. L’exploration de données [notes 1], connue aussi sous l'expression de fouille de données, forage de données, prospection de données, data mining [1], ou encore extraction de connaissances à partir de données, a pour objet l’extraction d'un savoir ou d'une connaissance à partir de grandes quantités de données, par des méthodes automatiques ou semi-automatiques [2]. Introduction to Data Mining: International Edition. Pang-Ning Tan, Michigan State University. Michael Steinbach, University of Minnesota. Vipin Kumar, University of Minnesota © | Pearson | View larger. If you're an educator Request a copy. Download instructor resources.

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Tan P. N. Steinbach M & Kumar V. Introduction To Data Mining Pearson Education pdf - Free download Ebook, Handbook, Textbook, User Guide PDF files on the internet quickly and easily. Pang-Ning Tan Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is.