메뉴 건너뛰기




Volumn 4, Issue 2, 2006, Pages 192-214

Efficient spatio-temporal data mining with GenSpace graphs

Author keywords

Data mining; Domain generalization graphs; GenSpace graphs; Knowledge discovery; Spatial data mining; Spatio temporal data mining; Summarization; Temporal data mining

Indexed keywords

GRAPH THEORY; HUMAN COMPUTER INTERACTION; STORAGE ALLOCATION (COMPUTER);

EID: 33646260440     PISSN: 15708683     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jal.2005.06.005     Document Type: Article
Times cited : (14)

References (23)
  • 1
    • 33646263653 scopus 로고    scopus 로고
    • A. Andrusiewicz, M.E. Orlowska, On granularity factors that affect data mining, in: Eighth Internat. Database Workshop, Data Mining, Data Warehousing and Client/Server Databases, Hong Kong, 1997
  • 2
    • 33646269552 scopus 로고    scopus 로고
    • C. Antunes, A. Oliveira, Temporal data mining: An overview, in: KDD 2001 Workshop on Temporal Data Mining, San Francisco, 2001
  • 3
    • 23044527560 scopus 로고    scopus 로고
    • Detecting group differences: Mining contrast sets
    • Bay S.D., and Pazzani M.J. Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery 5 3 (2001) 213-246
    • (2001) Data Mining and Knowledge Discovery , vol.5 , Issue.3 , pp. 213-246
    • Bay, S.D.1    Pazzani, M.J.2
  • 4
    • 1342277245 scopus 로고    scopus 로고
    • E. Bertino, E. Ferrari, G. Guerrini, I. Merlo, Navigating through multiple temporal granularity objects, in: Proceedings of the Eighth International Symposium on Temporal Representation and Reasoning (TIME'01), Cividale del Friuli, Italy, 2001, pp. 147-155
  • 6
    • 0002546079 scopus 로고
    • Attribute-oriented induction in relational databases
    • Piatetsky-Shapiro G., and Frawley W.J. (Eds), AAAI Press
    • Cai Y., Cercone N., and Han J. Attribute-oriented induction in relational databases. In: Piatetsky-Shapiro G., and Frawley W.J. (Eds). Knowledge Discovery in Databases (1991), AAAI Press 213-228
    • (1991) Knowledge Discovery in Databases , pp. 213-228
    • Cai, Y.1    Cercone, N.2    Han, J.3
  • 7
    • 0342340661 scopus 로고    scopus 로고
    • C. Combi, F. Pinciroli, G. Pozzi, Managing time granularity of narrative clinical information: the temporal data model TIME-NESIS, in: Proceedings of the Third International Workshop on Temporal Representation and Reasoning (TIME'96), Key West, FL, 1996, pp. 88-93
  • 8
    • 33646264855 scopus 로고    scopus 로고
    • http://interactive.usask.ca/skinteractive/modules/environment/ecoregions
  • 9
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • Fayyad U.M., Piatetsky-Shapiro G., Smyth R., and Uthurusamy R. (Eds), AAAI Press
    • Fayyad U.M., Piatetsky-Shapiro G., and Smyth P. From data mining to knowledge discovery: An overview. In: Fayyad U.M., Piatetsky-Shapiro G., Smyth R., and Uthurusamy R. (Eds). Advances in Knowledge Discovery and Data Mining (1996), AAAI Press 1-34
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 12
    • 0030387379 scopus 로고    scopus 로고
    • H.J. Hamilton, R.J. Hilderman, N. Cercone, Attribute-oriented induction using domain generalization graphs, in: Proceedings of the Eighth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'96), Toulouse, France, 1996, pp. 246-253
  • 13
    • 0030157475 scopus 로고    scopus 로고
    • V. Harinarayan, A. Rajaraman, J.D. Ullman, Implementing data cubes efficiently, in: Proceedings of ACM SIGMOD'96, Montreal, Canada, 1996, pp. 205-216
  • 14
    • 22844455414 scopus 로고    scopus 로고
    • R.J. Hilderman, H.J. Hamilton, Heuristic measures of interestingness, in: Proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, Prague, 1999, pp. 232-241
  • 17
    • 33646227491 scopus 로고    scopus 로고
    • S. Kaufmann, Data visualization techniques for knowledge discovery based on domain generalization, M.Sc. Thesis, Department of Computer Science, University of Regina, Regina, Canada, 2002
  • 18
    • 41149168274 scopus 로고    scopus 로고
    • C.H. Lee, C.R. Lin, M.S. Chen, On mining general temporal association rules in a publication database, in: Proceedings of the First IEEE International Conference on Data Mining, San Jose, CA, 2001, pp. 337-344
  • 19
    • 0041454634 scopus 로고    scopus 로고
    • Y. Li, P. Ning, X.S. Wang, S. Jajodia, Discovering calendar-based temporal association rules, in: Proceedings of the Eighth International Symposium on Temporal Representation and Reasoning (TIME'01), Cividale del Friuli, Italy, 2001, pp. 111-118
  • 20
    • 22844456088 scopus 로고    scopus 로고
    • C.P. Rainsford, J.F. Roddick, Adding temporal semantics to association rules, in: Proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, Prague, 1999, pp. 504-509
  • 21
    • 0344368888 scopus 로고    scopus 로고
    • D.J. Randall, H.J. Hamilton, R.J. Hilderman, Generalization for calendar attributes using domain generalization graphs, in: Proceedings of the Fifth International Workshop on Temporal Representation and Reasoning (TIME'98), Sanibel Island, FL, 1998, pp. 177-184
  • 22
    • 33646238525 scopus 로고    scopus 로고
    • D.J. Randall, Temporal generalization in databases using domain generalization graphs, M.Sc. Thesis, Department of Computer Science, University of Regina, Regina, Canada, 2002
  • 23
    • 0002598545 scopus 로고    scopus 로고
    • From contingency tables to various forms of knowledge in databases
    • Fayyad U.M., Piatetsky-Shapiro G., Smyth R., and Uthurusamy R. (Eds), AAAI Press
    • Zytkow J. From contingency tables to various forms of knowledge in databases. In: Fayyad U.M., Piatetsky-Shapiro G., Smyth R., and Uthurusamy R. (Eds). Advances in Knowledge Discovery and Data Mining (1996), AAAI Press 329-349
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 329-349
    • Zytkow, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.