Result 1 to 20 from 91 total
Formal context coverage based on isolated labels: an efficient solution for text feature extraction. (English)
Inf. Sci. 188, 198-214 (2012).
1
Towards a multiagent-based distributed intrusion detection system using data mining approaches. (English)
Cao, Longbing (ed.) et al., Agents and data mining interaction. 7th international workshop on agents and data mining interation, ADMI 2011, Taipei, Taiwan, May 2‒6, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-27608-8/pbk). Lecture Notes in Computer Science 7103. Lecture Notes in Artificial Intelligence, 173-194 (2012).
2
Extracting compact and information lossless sets of fuzzy association rules. (English)
Fuzzy Sets Syst. 183, No. 1, 1-25 (2011).
3
Folksonomy query suggestion via users’ search intent prediction. (English)
Christiansen, Henning (ed.) et al., Flexible query answering systems. 9th international conference, FQAS 2011, Ghent, Belgium, October 26‒28, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24763-7/pbk). Lecture Notes in Computer Science 7022. Lecture Notes in Artificial Intelligence, 388-399 (2011).
4
Mining approximate frequent closed flows over packet streams. (English)
Cuzzocrea, Alfredo (ed.) et al., Data warehousing and knowledge discovery. 13th international conference, DaWaK 2011, Toulouse, France, August 29 ‒ September 2, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23543-6/pbk). Lecture Notes in Computer Science 6862, 419-431 (2011).
5
Mining frequent disjunctive selection queries. (English)
Hameurlain, Abdelkader (ed.) et al., Database and expert systems applications. 22nd international conference, DEXA 2011, Toulouse, France, August 29 ‒ September 2, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23090-5/pbk). Lecture Notes in Computer Science 6861, 90-96 (2011).
6
Extracting compact and information lossless sets of fuzzy association rules (English)
Fuzzy Sets and Systems 183, No. 1, 1-25 (2011).
7
Auto-complétion de requêtes par une base générique de règles d’association triadiques (English)
CORIA, 9-24 (2011).
8
Mining approximate frequent closed flows over packet streams (English)
DaWaK, 419-431 (2011).
9
Semantic clustering of users based on shared conceptualizations in folksonomies (English)
CASoN, 201-206 (2011).
10
Towards a multiagent-based distributed intrusion detection system using data mining approaches (English)
ADMI, 173-194 (2011).
11
A snort-based mobile agent for a distributed intrusion detection system (English)
SECRYPT, 198-207 (2011).
12
Mining frequent disjunctive selection queries (English)
DEXA (2), 90-96 (2011).
13
Folksonomy query suggestion via users’ search intent prediction (English)
FQAS, 388-399 (2011).
14
Generalization of association rules through disjunction. (English)
Ann. Math. Artif. Intell. 59, No. 2, 201-222 (2010).
15
Bridging conjunctive and disjunctive search spaces for mining a new concise and exact representation of correlated patterns. (English)
Pfahringer, Bernhard (ed.) et al., Discovery science. 13th international conference, DS 2010, Canberra, Australia, October 6‒8, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16183-4/pbk). Lecture Notes in Computer Science 6332. Lecture Notes in Artificial Intelligence, 189-204 (2010).
16
Mining closed gradual patterns. (English)
Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing. 10th international conference, ICAISC 2010, Zakopane, Poland, June 13‒17, 2010. Part I. Berlin: Springer (ISBN 978-3-642-13207-0/pbk). Lecture Notes in Computer Science 6113. Lecture Notes in Artificial Intelligence, 267-274 (2010).
17
MAD-IDS: novel intrusion detection system using mobile agents and data mining approaches. (English)
Chen, Hsinchun (ed.) et al., Intelligence and security informatics. Pacific Asia workshop, PAISI 2010, Hyderabad, India, June 21, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-13600-9/pbk). Lecture Notes in Computer Science 6122, 73-76 (2010).
18
Bridging folksonomies and domain ontologies: getting out non-taxonomic relations (English)
ICDM Workshops, 369-379 (2010).
19
CND-cube : nouvelle représentation concise sans perte d’information d’un cube de données (English)
EGC, 261-272 (2010).
20
Result 1 to 20 from 91 total
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