메뉴 건너뛰기




Volumn 1, Issue 4, 2010, Pages 295-308

Pattern mining from movement of mobile users

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TECHNOLOGIES; DATA SETS; DATA SOURCE; LINK PATTERNS; MOBILE TECHNOLOGY; MOBILE USERS; MOBILE-PHONE USERS; PATTERN MINING; PREPARATION PROCESS; PROCESSING TIME; TIME PROCESSING; WORK FOCUS;

EID: 79952446355     PISSN: 18685137     EISSN: 18685145     Source Type: Journal    
DOI: 10.1007/s12652-010-0024-0     Document Type: Article
Times cited : (8)

References (41)
  • 1
    • 79952452882 scopus 로고
    • Proceedings of the twentieth international conference on very large data bases, Morgan Kaufmann Publishers, Santiago, Chile
    • Agrawal R, Srikant R, (1994) Fast algorithms for mining association rules in large databases. In: Proceedings of the twentieth international conference on very large data bases, Morgan Kaufmann Publishers, Santiago, Chile.
    • (1994) Fast algorithms for mining association rules in large databases
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 0029212693 scopus 로고
    • Proceedings of the eleventh international conference on data engineering, IEEE Computer Society Press, Taipei, Taiwan
    • Agrawal R, Srikant R, (1995) Mining sequential patterns. In: Proceedings of the eleventh international conference on data engineering, IEEE Computer Society Press, Taipei, Taiwan.
    • (1995) Mining sequential patterns
    • Agrawal, R.1    Srikant, R.2
  • 4
    • 34547303670 scopus 로고    scopus 로고
    • Proceedings of the Fifth IEEE International Conference on Data Mining. IEEE Computer Society, Taipei, Taiwan
    • Cao H, Mamoulis N, Cheung DW, (2005) Mining frequent spatiotemporal sequential patterns. In: Proceedings of the Fifth IEEE International Conference on Data Mining. IEEE Computer Society, Taipei, Taiwan.
    • (2005) Mining frequent spatiotemporal sequential patterns
    • Cao, H.1    Mamoulis, N.2    Cheung, D.W.3
  • 5
    • 77952329662 scopus 로고    scopus 로고
    • Data preparation for mining world wide web browsing patterns
    • Cooley R, Mobasher B, Srivastava J, (1999) Data preparation for mining world wide web browsing patterns. J Knowl Inf Syst 1:5-32.
    • (1999) J Knowl Inf Syst , vol.1 , pp. 5-32
    • Cooley, R.1    Mobasher, B.2    Srivastava, J.3
  • 6
    • 85013622332 scopus 로고    scopus 로고
    • WIT: a wireless integrated traffic model
    • IOS Press
    • Doci A, Xhafa F, (2008) WIT: a wireless integrated traffic model. Mobile Inf Syst 4(3):219-235, IOS Press.
    • (2008) Mobile Inf Syst , vol.4 , Issue.3 , pp. 219-235
    • Doci, A.1    Xhafa, F.2
  • 8
    • 84975462492 scopus 로고    scopus 로고
    • Proceedings of the 8th international conference on knowledge-based intelligent information and engineering systems (KES), September 2004. LNCS 3215. Springer
    • Goh J, Taniar D, (2004) Mining frequency pattern from mobile users. In: Proceedings of the 8th international conference on knowledge-based intelligent information and engineering systems (KES), September 2004. LNCS 3215. Springer, pp 795-801.
    • (2004) Mining frequency pattern from mobile users , pp. 795-801
    • Goh, J.1    Taniar, D.2
  • 9
    • 33646896736 scopus 로고    scopus 로고
    • Proceedings of the 5th international conference on intelligent data engineering and automated learning (IDEAL), September 2004. LNCS 3177. Springer
    • Goh JY, Taniar D, (2004) Mobile data mining by location dependencies. In: Proceedings of the 5th international conference on intelligent data engineering and automated learning (IDEAL), September 2004. LNCS 3177. Springer, pp 225-231.
    • (2004) Mobile data mining by location dependencies , pp. 225-231
    • Goh, J.Y.1    Taniar, D.2
  • 11
    • 0039253846 scopus 로고    scopus 로고
    • Proceedings of the 2000 ACM SIGMOD international conference on management of data, ACM, Dallas, TX
    • Han J, Pei J, Yin Y, (2000) Mining frequent patterns without candidate generation. In: Proceedings of the 2000 ACM SIGMOD international conference on management of data, ACM, Dallas, TX.
    • (2000) Mining frequent patterns without candidate generation
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 12
    • 85013609355 scopus 로고    scopus 로고
    • Data retrieval for location-dependent queries in a multi-cell wireless environment
    • IOS Press
    • Jayaputera J, Taniar D, (2005) Data retrieval for location-dependent queries in a multi-cell wireless environment. Mobile Inf Syst 1(2):91-108, IOS Press.
    • (2005) Mobile Inf Syst , vol.1 , Issue.2 , pp. 91-108
    • Jayaputera, J.1    Taniar, D.2
  • 13
    • 85001698824 scopus 로고    scopus 로고
    • Finding non-coincidental sporadic rules using apriori-inverse
    • IGI Global
    • Koh YS, Rountree N, O'keefe RA, (2006) Finding non-coincidental sporadic rules using apriori-inverse. Int J Data Warehous Min 2(2):38-54 IGI Global.
    • (2006) Int J Data Warehous Min , vol.2 , Issue.2 , pp. 38-54
    • Koh, Y.S.1    Rountree, N.2    O'keefe, R.A.3
  • 14
    • 79952444439 scopus 로고    scopus 로고
    • Workshop on web usage analysis and user profiling (WEBKDD-99), Springer, Berlin
    • Lan B, Bressan S, Ooi BC, Tay YC, (1999) Making web servers pushier. In: Workshop on web usage analysis and user profiling (WEBKDD-99), Springer, Berlin.
    • (1999) Making web servers pushier
    • Lan, B.1    Bressan, S.2    Ooi, B.C.3    Tay, Y.C.4
  • 16
    • 79952444118 scopus 로고    scopus 로고
    • Proceedings of the second international conference on knowledge discovery and data mining (KDD'96), Portland, OR
    • Mannila H, Toivonen H, (1996) Discovering generalized episodes using minimal occurrences. In: Proceedings of the second international conference on knowledge discovery and data mining (KDD'96), Portland, OR.
    • (1996) Discovering generalized episodes using minimal occurrences
    • Mannila, H.1    Toivonen, H.2
  • 17
    • 79952453656 scopus 로고
    • Proceedings of the first international conference on knowledge discovery and data mining (KDD-95), AAAI Press, Montreal, Canada
    • Mannila H, Toivonen H, Verkamo AI, (1995) Discovering frequent episodes in sequences. In: Proceedings of the first international conference on knowledge discovery and data mining (KDD-95), AAAI Press, Montreal, Canada.
    • (1995) Discovering frequent episodes in sequences
    • Mannila, H.1    Toivonen, H.2    Verkamo, A.I.3
  • 18
    • 77952914670 scopus 로고    scopus 로고
    • Range assignment problem on the Steiner tree based topology in ad hoc wireless networks
    • IOS Press
    • Muhammad RB, (2009) Range assignment problem on the Steiner tree based topology in ad hoc wireless networks. Mobile Inf Syst 5(1):53-64, IOS Press.
    • (2009) Mobile Inf Syst , vol.5 , Issue.1 , pp. 53-64
    • Muhammad, R.B.1
  • 19
    • 17444386019 scopus 로고    scopus 로고
    • Generating a condensed representation for association rules
    • Kluwer Academic Publisher, Hingman, MA, USA
    • Pasquier N, Taouil R, Bastide Y, Stumme G, Lakhal L, (2005) Generating a condensed representation for association rules. J Intell Inf Syst 24:29-60, Kluwer Academic Publisher, Hingman, MA, USA.
    • (2005) J Intell Inf Syst , vol.24 , pp. 29-60
    • Pasquier, N.1    Taouil, R.2    Bastide, Y.3    Stumme, G.4    Lakhal, L.5
  • 20
    • 85013581421 scopus 로고    scopus 로고
    • K nearest neighbor search in navigation systems
    • IOS Press
    • Safar M, (2005) K nearest neighbor search in navigation systems. Mobile Inf Syst 1(3):207-224, IOS Press.
    • (2005) Mobile Inf Syst , vol.1 , Issue.3 , pp. 207-224
    • Safar, M.1
  • 21
    • 84897708583 scopus 로고    scopus 로고
    • Proceedings of the fifth international conference on extending database technology: advances in database technology, Avignon, France, Springer, London, UK
    • Srikant R, Agrawal R, (1996) Mining sequential patterns: generalizations and performance improvements. In: Proceedings of the fifth international conference on extending database technology: advances in database technology, Avignon, France, Springer, London, UK.
    • (1996) Mining sequential patterns: generalizations and performance improvements
    • Srikant, R.1    Agrawal, R.2
  • 22
    • 34248365265 scopus 로고    scopus 로고
    • On mining movement pattern from mobile users
    • Taniar D, Goh J, (2007) On mining movement pattern from mobile users. Int J Distrib Sens Netw 3(1):69-86.
    • (2007) Int J Distrib Sens Netw , vol.3 , Issue.1 , pp. 69-86
    • Taniar, D.1    Goh, J.2
  • 23
    • 0036644619 scopus 로고    scopus 로고
    • A taxonomy of indexing schemes for parallel database systems
    • Taniar D, Rahayu JW, (2002a) A taxonomy of indexing schemes for parallel database systems. Distrib Parallel Databases 12(1):73-106.
    • (2002) Distrib Parallel Databases , vol.12 , Issue.1 , pp. 73-106
    • Taniar, D.1    Rahayu, J.W.2
  • 24
    • 0036798522 scopus 로고    scopus 로고
    • Parallel database sorting
    • Taniar D, Rahayu JW, (2002b) Parallel database sorting. Inf Sci 146(1-4):171-219.
    • (2002) Inf Sci , vol.146 , Issue.1-4 , pp. 171-219
    • Taniar, D.1    Rahayu, J.W.2
  • 25
    • 4243105998 scopus 로고    scopus 로고
    • Global parallel index for multiprocessors database systems
    • Taniar D, Rahayu JW, (2004) Global parallel index for multiprocessors database systems. Inf Sci 165(1-2):103-127.
    • (2004) Inf Sci , vol.165 , Issue.1-2 , pp. 103-127
    • Taniar, D.1    Rahayu, J.W.2
  • 26
    • 54249117162 scopus 로고    scopus 로고
    • Exception rules in association rule mining
    • Taniar D, Rahayu JW, Lee V, Daly O, (2008) Exception rules in association rule mining. Appl Math Comput 205(2):735-750.
    • (2008) Appl Math Comput , vol.205 , Issue.2 , pp. 735-750
    • Taniar, D.1    Rahayu, J.W.2    Lee, V.3    Daly, O.4
  • 27
    • 85001754618 scopus 로고    scopus 로고
    • Mining association rules in data warehouses
    • IGI Global
    • Tjioe HC, Taniar D, (2005) Mining association rules in data warehouses. Int J Data Warehous Min 1(3):28-62 IGI Global.
    • (2005) Int J Data Warehous Min , vol.1 , Issue.3 , pp. 28-62
    • Tjioe, H.C.1    Taniar, D.2
  • 28
    • 77953232367 scopus 로고    scopus 로고
    • Reverse k nearest neighbor and reverse farthest neighbor search on spatial networks
    • Springer, Berlin
    • Tran QT, Taniar D, Safar M, (2009) Reverse k nearest neighbor and reverse farthest neighbor search on spatial networks. Trans Large Scale Data Knowl Cent Syst, 1:353-372, Springer, Berlin.
    • (2009) Trans Large Scale Data Knowl Cent Syst , vol.1 , pp. 353-372
    • Tran, Q.T.1    Taniar, D.2    Safar, M.3
  • 30
    • 35248820164 scopus 로고    scopus 로고
    • Proceedings of the 5th international workshops on advanced parallel programming technologies (APPT), September 2003. LNCS 2834. Springer, Xiamen, China
    • Waluyo AB, Srinivasan B, Taniar D, (2003) Optimal broadcast channel for data dissemination in mobile database environment. In: Proceedings of the 5th international workshops on advanced parallel programming technologies (APPT), September 2003. LNCS 2834. Springer, Xiamen, China pp 655-664.
    • (2003) Optimal broadcast channel for data dissemination in mobile database environment , pp. 655-664
    • Waluyo, A.B.1    Srinivasan, B.2    Taniar, D.3
  • 32
    • 85013589358 scopus 로고    scopus 로고
    • Research in mobile database query optimization and processing
    • IOS Press
    • Waluyo AB, Srinivasan B, TaniarD, (2005) Research in mobile database query optimization and processing. Mobile Inf Syst 1(4):225-252, IOS Press.
    • (2005) Mobile Inf Syst , vol.1 , Issue.4 , pp. 225-252
    • Waluyo, A.B.1    Srinivasan, B.2    Taniar D3
  • 34
    • 79952443256 scopus 로고    scopus 로고
    • The 14th international conference on database and expert systems applications: DEXA, 2003, Prague, Czech Republic
    • Wang Y, Lim EP, Hwang SY, (2003) On mining group patterns of mobile users. In: The 14th international conference on database and expert systems applications: DEXA 2003, Prague, Czech Republic.
    • (2003) On mining group patterns of mobile users
    • Wang, Y.1    Lim, E.P.2    Hwang, S.Y.3
  • 35
    • 33646493146 scopus 로고    scopus 로고
    • Efficient mining of group patterns from user movement data
    • Wang Y, Lim E-P, Hwang S-Y, (2006) Efficient mining of group patterns from user movement data. Data Knowl Eng 57:240-282.
    • (2006) Data Knowl Eng , vol.57 , pp. 240-282
    • Wang, Y.1    Lim, E.-P.2    Hwang, S.-Y.3
  • 36
    • 79952450788 scopus 로고    scopus 로고
    • Traversal pattern mining in web usage data
    • Taniar D, Rahayu J (eds) Idea Group Inc (IGI), Hershey, PA, USA
    • Xiao Y, Yao JF, (2004) Traversal pattern mining in web usage data. In: Taniar D, Rahayu J (eds) Web information systems, Idea Group Inc (IGI), Hershey, PA, USA.
    • (2004) Web information systems
    • Xiao, Y.1    Yao, J.F.2
  • 37
    • 34250816491 scopus 로고    scopus 로고
    • Mining non-redundant association rules based on concise bases
    • Xu Y, Li Y, (2007) Mining non-redundant association rules based on concise bases. Int J Pattern Recognit Artif Intell 21:659-675.
    • (2007) Int J Pattern Recognit Artif Intell , vol.21 , pp. 659-675
    • Xu, Y.1    Li, Y.2
  • 39
    • 0034592942 scopus 로고    scopus 로고
    • Proceedings of the Sixth ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, New York
    • Zaki MJ, (2000) Generating non-redundant association rules. In: Proceedings of the Sixth ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, New York.
    • (2000) Generating non-redundant association rules
    • Zaki, M.J.1
  • 41
    • 70350623200 scopus 로고    scopus 로고
    • Proceedings of the international conference on computational science and its applications, ICCSA 2009, Part II, Lecture Notes in Computer Science 5593 Springer, Berlin
    • Zhao G, Xuan K, Taniar D, Safar M, Gavrilova ML, Srinivasan B, (2009) Multiple object types KNN search using network Voronoi diagram. In: Proceedings of the international conference on computational science and its applications, ICCSA 2009, Part II, Lecture Notes in Computer Science 5593 Springer, Berlin, pp 819-834.
    • (2009) Multiple object types KNN search using network Voronoi diagram , pp. 819-834
    • Zhao, G.1    Xuan, K.2    Taniar, D.3    Safar, M.4    Gavrilova, M.L.5    Srinivasan, B.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.