Principles of Risk Management and Insurance Rejda 11th Edition Test Bank
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Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network
Data Mining And Its Relevance
Data Mining and Statistics: What's the Connection?
Data Mining and Business Intelligence Tools
METHODOLOGICAL ISSUES OF DATA ANALYSIS AND INTERPRETATION
THE UTILISATION OF BUILDING INFORMATION MODELS IN nD MODELLING: A STUDY OF DATA INTERFACING AND ADOPTION BARRIERS
How to Create, Configure, and Manage a Design Inputs - Design Outputs Traceability Matrix utilizing the principles of Lean Documents and Lean Configuration
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Principles of Data Mining and Knowledge Discovery
This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2007, held in Regensburg, Germany, September 3-7, 2007 ...
This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in Krakow, Poland in September 2006 in conjunction ...
This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008.The 40 revised ...
Gives the reader a perspective into the theory and practice of Data Mining and Knowledge Discovery (DM and KD). This book combines many theoretical foundations for various DM and KD methods, as well ...
This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many ...
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine ...
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in ...
With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in ...
Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power ...