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The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.
Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the ! field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges.
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
The increasing! volume of data in modern business and science calls for more ! complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.
Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification agains! t live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges.
- Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects.
- Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields.
- Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Read a Sample Chapter from Data Mining: Concepts and Techniques  Read a sample chapter from Data Mining: Concepts and Techniques |
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.
Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses o! n new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges.
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of you! r data
Wealthy, educated, and more privileged people a! re more likely to participate and be represented in politics than their poorer, less educated, and less privileged counterparts. To reduce these inequalities, we need a better understanding of how the disadvantaged become motivated to participate. Moved to Action fills the current gap in this area of research by examining the commitments and pathways through which the underprivileged become engaged in politics.
Drawing on original, in-depth interviews with political activists and large-scale survey data, author Hahrie C. Han contests the traditional idea that people must be politicized before they participate, and that only idiosyncratic factors outside the control of the political system can drive motivation. Her findings show that that highly personal commitments, such as the quality of children's education or the desire to help a friend, have a disproportionately large impact in motivating political participation among people with fewer resources. Han makes the case! that civic and political organizations can lay the foundation for greater citizen participation by helping people recognize the connections between their personal commitments and politics.
