Data Mining Technologies, Techniques, Tools, and Trends

Data Mining Technologies, Techniques, Tools, and Trends

1. 引言 1. 什么是数据挖掘 数据挖掘是从大量的数据中抽取出潜在的、不为人知的有用信息、模式和趋势。数据挖掘的目的：提高市场决策能力；检测异常模式；在过去的经验基础上预言未来趋势等

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Effective STL:Item 16: Know how to pass vector and string data to

Since C++was standardized in 1998,the C++elite haven¡¯tbeenterri-bly subtle in their atte

RFC327 - Data and File Transfer workshop notes

Network Working Group A. Bhushan Request for Comments: 327 MIT-MAC NIC: 9261 April 27, 1972 DATA

RFC80 - Protocols and Data Formats

Network Working Group E. Harslem Request for Comments: 80 J. Heafner NIC: 5608 RAND 1 December 19

Data Structures with .NET - Part 2: The Queue, Stack, and Hashtable

An Extensive Examination of Data Structures Part 2: The Queue, Stack, and Hashtable Scott Mitche

Setting and Retrieving Data

Platform SDK: Internet Information Services 5.1 Setting and Retrieving Data You can set data in t

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