Case studies: Public domain, multiple mining tasks systems: MLC++

Authors:
Ronny Kohavi;Daniel A. Sommerfield
Affiliations:
Senior Director of Data Mining Applications, Blue Martini Software, San Mateo, California;Senior Engineering Manager, Data Mining, Kana Software, Menlo Park, California
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

MLC++, the Machine Learning library in C++, is a set of Libraries and utilities that can aid developers in interfacing machine-learning technology, aid users in selecting an appropriate algorithm for a given task, and aid researchers in developing new algorithms, especially hybrid algorithms and multistrategy algorithms.