A Survey of Internet Data Mining Technologies Based on Machine Learning

DOI

10.2991/asei-15.2015.319How to use a DOI?

Keywords

Data mining, Machine learning, Rank learning, Topic model learning.

Abstract

As a knowledge discovery in internet, data mining technology is the cross of machine learning and databases technology. Data mining can provide massive amounts of data analysis using machine learning techniques and manage massive amounts of data by the use of database technology. The goal of machine learning is to simulate and realize human learning behavior in order to optimize a performance criterion using past experience and example data. Two kinds of internet data mining technologies which include rank learning and topic model learning are introduced in this paper. As a supervised learning sorting method, the task of rank learning is sorting the retrieved pages for a given query. As a Bayesian model, topic model learning is designed to automatically extract all possible topics and each topic page from the index page, so that the web page and query statement can match on the topic. The latest researches about above areas are reviewed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Du
AU  - Yehong Han
PY  - 2015/05
DA  - 2015/05
TI  - A Survey of Internet Data Mining Technologies Based on Machine Learning
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1623
EP  - 1626
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.319
DO  - 10.2991/asei-15.2015.319
ID  - Du2015/05
ER  -