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The book: Han, Kamber and Pei, "Data Mining: Concepts and Techniques" (3rd ed., Morgan Kaufmann, 2011) has been popularly used as a textbook worldwide. He was the 2009 winner of the McDowell Award , the highest technical award made by IEEE .
Arnetminer: extraction and mining of academic social networks. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (SIGKDD'2008) Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, and Jingyi Guo. Mining Advisor-Advisee Relationships from Research Publication Networks.
Data reduction is the transformation of numerical or alphabetical digital information derived empirically or experimentally into a corrected, ordered, and simplified form. . The purpose of data reduction can be two-fold: reduce the number of data records by eliminating invalid data or produce summary data and statistics at different aggregation levels for various applications
The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data. In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large ...
For data storage, identification is the capability to find, retrieve, report, change, or delete specific data without ambiguity. This applies especially to information stored in databases. In database normalisation , the process of organizing the fields and tables of a relational database to minimize redundancy and dependency, is the central ...
President-elect Donald Trump has promised steep across-the-board tariffs on imports to the United States, with a particularly significant tax on goods coming from China. One US company, just two ...
Sit on the ground with one leg forward and one leg back making a 90-degree angle with both legs. Slowly transition the back leg forward while moving the front leg back, maintaining an upright ...
Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms.While it can be used for mining data from DNA sequences, [1] it is not limited to biological contexts and can be used in any classification-based prediction scenario, which helps "predict the value ... of a user-specified goal attribute based on the values of other attributes."