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"Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization."

"Summary:Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets. This title focuses on important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data."

"Summary:Leads students through the research process from start to finish. This text opens with tips and strategies for generating research ideas, moves to selecting measures and participants, and then offers an examination of research strategy and design, emphasizing the decisions researchers must make at each stage of the process"

"Helps readers see how interesting and exciting experimental and nonexperimental research can be. This book begins with tips and strategies for generating research ideas, moves to selecting measures and participants, and then offers an examination of research strategy and design."