Research on internet information mining based on agent algorithm

With the rapid development of information technology, especially network technology, people’s ability to collect, store and transmit data are increasing. The data have exploded in an explosive manner. In sharp contrast, the ability to make valuable data for decision making is very poor. In this pape...

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Vydané v:	Future generation computer systems Ročník 86; s. 598 - 602
Hlavní autori:	Wu, Shaofei, Wang, Mingqing, Zou, Yuntao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2018
Predmet:	Agent algorithm Data mining Intelligence Intelligence Agent algorithm Data mining
ISSN:	0167-739X, 1872-7115
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Popis
Shrnutí:	With the rapid development of information technology, especially network technology, people’s ability to collect, store and transmit data are increasing. The data have exploded in an explosive manner. In sharp contrast, the ability to make valuable data for decision making is very poor. In this paper, data mining is the most basic problem. In order to overcome the shortcomings of the traditional clustering algorithm for k-means clustering, it is difficult to determine the initial clustering center and the k-means algorithm is improved. When determining the initial K-, the convergence factor is improved and the global optimum is achieved, so as to realize the determination of clustering center. By using improved k-means algorithm to approximate the criminal data, the validity of this method is verified.
ISSN:	0167-739X 1872-7115
DOI:	10.1016/j.future.2018.04.040