Volume 6 Number 7 (Jul. 2011)
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JSW 2011 Vol.6(7): 1217-1224 ISSN: 1796-217X
doi: 10.4304/jsw.6.7.1217-1224

On Formalism of Continuous Knowledge Discovery and Temporal Granularity

Ding Pan
Center for Business Intelligence Research, School of Management, Jinan University, Guangzhou, China

Abstract—The accessibility and abundance of data today makes knowledge discovery a matter of considerable importance and necessity. The process to discover continuously knowledge in evolving business domain is a challenge issue. A continuous knowledge discovery process is introduced for inducing the local first-order rules and global evolutional rules, to trace dynamic evolution patterns firstly. The definitions of main notions (event, sequence pattern, temporal rule) are proposed in a formal way, based on first-order linear temporal logic and temporal granularity. The measures of support and confidence about ranged degree of truth of a formula are established. The formalism defines the valuation on a linear state structure with time granules. By defining transition operation between temporal types, it is proved that only the independent information for unspanned-granule may be transferred without loss among different granularities. Otherwise, an aggregation mechanism was proposed to state sequence.

Index Terms—continuous discovery process, temporal granularity, formal theory, first-order linear temporal logic

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Cite: Ding Pan, "On Formalism of Continuous Knowledge Discovery and Temporal Granularity," Journal of Software vol. 6, no. 7, pp. 1217-1224, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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