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"The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition-more than 50% new and revised- is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems"

"The skills needed to conduct all types of business interviews and ensure legal compliance. Here is the book that can turn non-interviewers into good interviewers?and good interviewers into great interviewers. Whether you're a general manager or human resources specialist, the fact is that you do some interviewing (formally or informally) virtually every day. This book will help you sharpen such skills as open-ended questioning, active listening, and reading body language?all essential in a variety of management situations. You?ll learn to apply these techniques to 12 types of business interviews, from hiring and coaching to assessment and termination. You?ll even gain practice in dealing with interviewees who are nervous, aggressive, overly talkative, evasive, or otherwise challenging. "Which questions can and can't I ask? How should I document an interview?" Because such concerns can trip up even the most experienced business interviewer, you?ll find clear guidance on key legal issues and specific do's and do not's dictated by current legislation. Managers will also appreciate the wealth of real-life dialogs that highlight this broad-based and highly useful course. This is an ebook version of the AMA Self-Study course. If you want to take the course for credit you need to either purchase a hard copy of the course through amaselfstudy."

"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."

"Computational intelligence skills, which embrace the family of neural networks,fuzzy systems, and evolutionary computing in addition to other fields withinmachine learning, are effective in identifying, visualizing, classifying, and analysingdata to support business decisions. Developed theories of computational intelligencehave been applied in many fields of engineering, data analysis, forecasting,healthcare, and other. This text brings these skills together to address data science problems."