Data mining applications for empowering knowledge societies
Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by various multi-dimensional applications.
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Detecting Deforestation Patterns Through Satellites
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accuracy ALPs Amazonia analysis approach areas association rules candidate portfolios cell chapter Chen classification cluster companies concept context credit card customers data mining data mining algorithms data mining applications data mining techniques data warehouse database decision tree deforestation detection developing countries directed graph drought dynamic dynamic hash early warning system extract hash hash table identify IEEE implementation improve integrated intelligence International Conference Internet Journal knowledge discovery Kostoff linear programming machine learning marketing MCLP MCQP methods monitoring multiple criteria nanotechnology neural networks node one-sum weighted performance prediction problems Proceedings relationships remote sensing remote sensing image risk SMEs social spatial patterns specific strategy structure surface plasmon resonance Table threshold tion transactions Univ variables Wal-Mart Wang Web mining Web usage mining weighted itemset