Data Mining 108 Success Secrets: 108 Most Asked Questions On Data Mining - What You Need To Know

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9781488851421: Data Mining 108 Success Secrets: 108 Most Asked Questions On Data Mining - What You Need To Know
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Data Mining: Classic Edition. Data mining includes 6 commonplace groups of tasks: There has never been a Data Mining Guide like this.

It contains 108 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Mining.

A quick look inside of some of the subjects covered: Data mining Knowledge grid, Data mining Further reading, Data mining Subject-based data mining, List of free and open-source software packages - Data mining, Data mining in agriculture - Literature, Data mining Pattern mining, Data mining Sensor data mining, OAuth - Abuse of OAuth for Internet data mining, Data Mining Extensions - Data Manipulation Language, Educational data mining - Phases of Educational Data Mining, Data mining in agriculture - Explaining pesticide abuse by data mining, Data mining Commercial data-mining software and applications, Department of Homeland Security - Data mining (ADVISE), Computational sociology - Data mining and social network analysis, Criticism of Facebook - Data mining, Data mining Etymology, Conference on Knowledge Discovery and Data Mining - Leadership, Data mining Pre-processing, Data mining Process, Surveillance - Data mining and profiling, List of open-source software packages - Data mining, Multifactor dimensionality reduction - Data mining with MDR, Data mining Visual data mining, Data mining in meteorology - What is Data mining?, Data mining Medical data mining, Data mining Science and engineering, Data mining in meteorology - Self-organizing Maps, Data mining in agriculture - Optimizing pesticide use by data mining, Java Data Mining, Conference on Knowledge Discovery and Data Mining - Awards, and much more...

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