Volume 8 Number 1 (Jan. 2013)
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JSW 2013 Vol.8(1): 47-54 ISSN: 1796-217X
doi: 10.4304/jsw.8.1.47-54

A New Framework based on Cognitive Psychology for Knowledge Discovery

Jun Yang, Yinglong Wang

School of Software, Jiangxi Agricultural University, Nanchang, China

Abstract—The mainstream of knowledge discovery encompasses mining algorithms with highperformance and high-scalability in kinds of databases and application backgrounds. Some research were carried out in another shortcut which focuses on research to high-level theory framework in order to reveal the potential essence, principles and complexity of knowledge discovery and then reacts to the mainstream development. The contributions are as follows: 1) the process and system of KD is regards as complex cognitive process and system. 2) Two coordinators, which are used to simulate cognitive psychology characters so as to make system discover knowledge independently and maintain knowledge base in real-time, are proposed. 3) Double bases cooperating mechanism, which can reveal the equivalence relationship between two categories (structure corresponding theorem) in knowledge discovery process under the conditions that database and knowledge base are specially constructed, is proposed. It paves the way for the implementation of directional searching and directional mining of two coordinators. 4) A new process model based on double bases cooperating mechanism is presented. 5) A new mining algorithm is brought forward consequently, which embodies the driving role to mainstream development.

Index Terms—knowledge discovery, data sub-class structure, knowledge node, heuristic coordinator, maintenance coordinator, double bases cooperating mechanism.


Cite: Jun Yang, Yinglong Wang, "A New Framework based on Cognitive Psychology for Knowledge Discovery," Journal of Software vol. 8, no. 1, pp. 47-54, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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