This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular...
Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA...
Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the...
Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and...
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and...
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and...
With the growing popularity of big data, the potential value of personal data has attracted more and more attention. Applications built on personal data can...
This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 5th International Workshop on Data Privacy Management, DPM 2010, and the...
This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 6th International Workshop on Data Privacy Management, DPM 2011, and the...
Christoph Samitsch investigates whether decisionmaking efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data...
Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to...
1 Introduction. 2 Foundations of R. 3 Managing Data in R. 4 Data Visualization. 5 Linear Algebra & Matrix Computing. 6 Dimensionality Reduction. 7 Lazy...
Data science addresses the need to extract knowledge and information from data volumes, often from realtime sources in a wide variety of disciplines such as...
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how...
This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE...
This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene...
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This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular...
Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA...
Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the...
Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and...
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and...
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and...
With the growing popularity of big data, the potential value of personal data has attracted more and more attention. Applications built on personal data can...
This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 5th International Workshop on Data Privacy Management, DPM 2010, and the...
This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 6th International Workshop on Data Privacy Management, DPM 2011, and the...
Christoph Samitsch investigates whether decisionmaking efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data...
Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to...
1 Introduction. 2 Foundations of R. 3 Managing Data in R. 4 Data Visualization. 5 Linear Algebra & Matrix Computing. 6 Dimensionality Reduction. 7 Lazy...
Data science addresses the need to extract knowledge and information from data volumes, often from realtime sources in a wide variety of disciplines such as...
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how...
This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE...
This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene...
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