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Osmar R. Zaiane
(ALIAS: Osmar Zaiane) [FOAF]  [Follow]

Position: Osmar R. Za?ane, Ph.D., Associate Professor
Affiliation: Department of Computing Science University of Alberta
Address: 352 Athabasca Hall Edmonton, Alberta, Canada T6G 2E8
Phone: 1-780-492 2860
Fax: 1-780-492 1071
Email:
Homepage: http://www.cs.ualberta.ca/~zaiane/
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Statistics: H-index: 25 (See all experts' h-index.)
total citation number: 2382
highest-cited paper: Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs (1998) at ADL (Cited By 447)

Research Interest:

Multimedia Data Mining, Parallel Association Rule Mining, Clustering Spatial Data, Association Rule Mining, Bifold Constraint-Based Mining

Show Temporal Interests (Do you want to see the change of his/her research interests?)

Education: [Edit]

Phd University: Simon Fraser University Phd Major: Computer Science Phd Date: 1999
Master University: Laval University Master Major: Computer Science Master Date: 1992
Bachelor University: University of Tunis Bachelor Major: Computer Science and Management Bachelor Date: 1988

Publications: [Edit disambiguation Result]

2009(4)
[89]Kang DengOsmar R. ZaianeContrasting Sequence Groups by Emerging Sequences.  Discovery Science'2009. pp.377~384    Cited By 1[Bibtex]
[88]Jiyang ChenOsmar R. ZaianeRandy GoebelDetecting Communities in Social Networks Using Max-Min Modularity.  SDM'2009. pp.978~989    Cited By 9[Bibtex]
[87]Hongqin FanOsmar R. ZaianeAndrew FossJunfeng WuResolution-based outlier factor: detecting the top- n most outlying data points in engineering data. Knowl. Inf. Syst., 2009: 31~51    Cited By 5[Bibtex]
[86]Dilhan PereraJudy KayIrena KoprinskaKalina YacefOsmar R. ZaianeClustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Trans. Knowl. Data Eng., 2009: 759~772    Cited By 10[Bibtex]
2008(7)
[85]Osmar R. ZaianeLe forage de reseaux sociaux.  EGC'2008. pp.3~3    Cited By 1[Bibtex]
[84]S. Vahid JazayeriOsmar R. ZaianePlant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences.  ICDM Workshops'2008. pp.228~237    Cited By 2[Bibtex]
[83]Andrew FossOsmar R. ZaianeEstimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications.  ICDM Workshops'2008. pp.673~681    Cited By 1[Bibtex]
[82]David ChodosOsmar R. ZaianeARC-UI: Visualization Tool for Associative Classifiers.  IV'2008. pp.296~301    Cited By 2[Bibtex]
[81]Jiyang ChenOsmar R. ZaianeRandy GoebelAn Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities.  Web Intelligence'2008. pp.725~729    Cited By 1[Bibtex]
[80]Chi-Hoon LeeOsmar R. ZaianeHo-Hyun ParkJiayuan HuangRussell GreinerClustering high dimensional data: A graph-based relaxed optimization approach. Inf. Sci., 2008: 4501~4511    Cited By 12[Bibtex]
[79]Olfa NasraouiMyra SpiliopoulouOsmar R. ZaianeJaideep SrivastavaBamshad MobasherWebKDD 2008: 10 years of knowledge discovery on the web post-workshop report. SIGKDD Explorations, 2008: 78~83   [Bibtex]
2007(7)
[78]Mohammad El-HajjJiyang ChenOsmar R. ZaianeRandy GoebelConstraint-Based Mining of Web Page Associations.  Australian Conference on Artificial Intelligence'2007. pp.315~326   [Bibtex]
[77]Abhishek SrivastavaOsmar R. ZaianeMaria-Luiza AntonieFeature Space Enrichment by Incorporation of Implicit Features for Effective Classification.  IDEAS'2007. pp.141~148   [Bibtex]
[76]Amit SatsangiOsmar R. ZaianeContrasting the Contrast Sets: An Alternative Approach.  IDEAS'2007. pp.114~119    Cited By 6[Bibtex]
[75]Jiyang ChenTong ZhengWilliam ThorneDaniel HuntleyOsmar R. ZaianeRandy GoebelVisualizing Web Navigation Data with Polygon Graphs.  IV'2007. pp.232~237    Cited By 2[Bibtex]
[74]Jiyang ChenTong ZhengWilliam ThorneOsmar R. ZaianeRandy GoebelVisual Data Mining of Web Navigational Data.  IV'2007. pp.649~656    Cited By 4[Bibtex]
[73]Osmar R. ZaianeJiyang ChenRandy GoebelMining Research Communities in Bibliographical Data.  WebKDD/SNA-KDD'2007. pp.59~76    Cited By 2[Bibtex]
[72]Stanley R. M. OliveiraOsmar R. ZaianeA privacy-preserving clustering approach toward secure and effective data analysis for business collaboration. Computers Security, 2007: 81~93    Cited By 11[Bibtex]
2006(9)
[71]Maria-Luiza AntonieOsmar R. ZaianeRobert C. HolteLearning to Use a Learned Model: A Two-Stage Approach to Classification.  ICDM'2006. pp.33~42    Cited By 14[Bibtex] [PDF]
[70]Yaling PeiOsmar R. ZaianeYong GaoAn Efficient Reference-Based Approach to Outlier Detection in Large Datasets.  ICDM'2006. pp.478~487    Cited By 15[Bibtex] [PDF]
[69]Mohammad El-HajjOsmar R. ZaianeParallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment.  ICPADS (1)'2006. pp.135~142    Cited By 13[Bibtex] [PDF]
[68]Hongqin FanOsmar R. ZaianeAndrew FossJunfeng WuA Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data.  PAKDD'2006. pp.557~566    Cited By 13[Bibtex]
[67]Osmar R. ZaianeYang WangRandy GoebelGregory J. TaylorFrequent Subsequence-Based Protein Localization.  BioDM'2006. pp.35~47    Cited By 4[Bibtex]
[66]Chi-Hoon LeeRussell GreinerOsmar R. ZaianeEfficient Spatial Classification Using Decoupled Conditional Random Fields.  PKDD'2006. pp.272~283    Cited By 5[Bibtex] [PDF]
[65]Mohammad El-HajjOsmar R. ZaianeParallel Bifold: Large-scale parallel pattern mining with constraints. Distributed and Parallel Databases, 2006: 225~243    Cited By 1[Bibtex]
[64]Stanley R. M. OliveiraOsmar R. ZaianeA unified framework for protecting sensitive association rules in business collaboration. IJBIDM, 2006: 247~287    Cited By 21[Bibtex]
[63]Gabor MelliOsmar R. ZaianeBrendan KittsIntroduction to the special issue on successful real-world data mining applications. SIGKDD Explorations, 2006: 1~2    Cited By 8[Bibtex]
2005(9)
[62]Osmar R. ZaianeRelevance of Counting in Data Mining Tasks.  ADMA'2005. pp.14~18   [Bibtex] [PDF]
[61]Mohammad El-HajjOsmar R. ZaianeFinding All Frequent Patterns Starting from the Closure.  ADMA'2005. pp.67~74    Cited By 7[Bibtex] [PDF]
[60]Mohammad El-HajjOsmar R. ZaianeMining with Constraints by Pruning and Avoiding Ineffectual Processing.  Australian Conference on Artificial Intelligence'2005. pp.1001~1004    Cited By 3[Bibtex] [PDF]
[59]Osmar R. ZaianeMohammad El-HajjYi LiStella LukScrutinizing Frequent Pattern Discovery Performance.  ICDE'2005. pp.1109~1110    Cited By 2[Bibtex] [PDF]
[58]Mohammad El-HajjOsmar R. ZaianePaul NalosBifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking.  ICDM'2005. pp.146~153    Cited By 8[Bibtex] [PDF]
[57]Osmar R. ZaianeMohammad El-HajjPattern lattice traversal by selective jumps.  KDD'2005. pp.729~735    Cited By 8[Bibtex] [PDF]
[56]Osmar R. ZaianeMaria-Luiza AntonieOn Pruning and Tuning Rules for Associative Classifiers.  KES (3)'2005. pp.966~973    Cited By 13[Bibtex]
[55]Rafal RakWojciech StachOsmar R. ZaianeMaria-Luiza AntonieConsidering Re-occurring Features in Associative Classifiers.  PAKDD'2005. pp.240~248    Cited By 12[Bibtex]
[54]Olfa NasraouiOsmar R. ZaianeMyra SpiliopoulouBamshad MobasherBrij M. MasandPhilip S. YuWebKDD 2005: web mining and web usage analysis post-workshop report. SIGKDD Explorations, 2005: 139~142    Cited By 2[Bibtex]
2004(9)
[53]Yang WangOsmar R. ZaianeRandy GoebelJennafer L. SouthronUrmila BasuRandy M. WhittalJulie L. StephensGregory J. TaylorDeveloping a Database for Proteomic Analysis of Extracytosolic Plant Proteins.  DEXA Workshops'2004. pp.366~370   [Bibtex] [PDF]
[52]Maria-Luiza AntonieOsmar R. ZaianeAn associative classifier based on positive and negative rules.  DMKD'2004. pp.64~69    Cited By 51[Bibtex] [PDF]
[51]Mohammad El-HajjOsmar R. ZaianeCOFI approach for mining frequent itemsets revisited.  DMKD'2004. pp.70~75    Cited By 8[Bibtex] [PDF]
[50]Jia LiOsmar R. ZaianeCombining Usage, Content, and Structure Data to Improve Web Site Recommendation.  EC-Web'2004. pp.305~315    Cited By 62[Bibtex] [PDF]
[49]Osmar R. ZaianeJia LiRobert HaywardMission-Based Navigational Behaviour Modeling for Web Recommender Systems.  WebKDD'2004. pp.37~55    Cited By 3[Bibtex]
[48]Stanley R. M. OliveiraOsmar R. ZaianeYucel SayginSecure Association Rule Sharing.  PAKDD'2004. pp.74~85    Cited By 55[Bibtex]
[47]Maria-Luiza AntonieOsmar R. ZaianeMining Positive and Negative Association Rules: An Approach for Confined Rules.  PKDD'2004. pp.27~38    Cited By 72[Bibtex] [PDF]
[46]Stanley R. M. OliveiraOsmar R. ZaianeAchieving Privacy Preservation when Sharing Data for Clustering.  Secure Data Management'2004. pp.67~82    Cited By 68[Bibtex]
[45]Jiyang ChenLisheng SunOsmar R. ZaianeRandy GoebelVisualizing and Discovering Web Navigational Patterns.  WebDB'2004. pp.13~18    Cited By 22[Bibtex] [PDF]
2003(8)
[44]Mohammad El-HajjOsmar R. ZaianeNon-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations.  DaWaK'2003. pp.371~380    Cited By 24[Bibtex] [PDF]
[43]Mohammad El-HajjOsmar R. ZaianeParallel Association Rule Mining with Minimum Inter-Processor Communication.  DEXA Workshops'2003. pp.519~523   [Bibtex] [PDF]
[42]Osmar R. ZaianeMohammad El-HajjCOFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation.  FIMI'2003.     Cited By 15[Bibtex] [PDF]
[41]Stanley R. M. OliveiraOsmar R. ZaianeProtecting Sensitive Knowledge By Data Sanitization.  ICDM'2003. pp.613~616   [Bibtex] [PDF]
[40]William CheungOsmar R. ZaianeIncremental Mining of Frequent Patterns without Candidate Generation or Support Constraint.  IDEAS'2003. pp.111~116    Cited By 4[Bibtex] [PDF]
[39]Stanley R. M. OliveiraOsmar R. ZaianeAlgorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining.  IDEAS'2003. pp.54~65    Cited By 75[Bibtex]
[38]Mohammad El-HajjOsmar R. ZaianeInverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining.  KDD'2003. pp.109~118    Cited By 48[Bibtex] [PDF]
[37]Stanley R. M. OliveiraOsmar R. ZaianePrivacy Preserving Clustering by Data Transformation.  SBBD'2003. pp.304~318    Cited By 91[Bibtex] [PDF]
2002(15)
[36]Osmar R. ZaianeMaria-Luiza AntonieClassifying Text Documents by Associating Terms With Text Categories.  Australasian Database Conference'2002.     Cited By 87[Bibtex]
[35]Weinan WangOsmar R. ZaianeClustering Web Sessions by Sequence Alignment.  DEXA Workshops'2002. pp.394~398    Cited By 68[Bibtex] [PDF]
[34]Osmar R. ZaianeBuilding a Recommender Agent for e-Learning Systems.  ICCE'2002. pp.55~59    Cited By 125[Bibtex] [PDF]
[33]Maria-Luiza AntonieOsmar R. ZaianeText Document Categorization by Term Association.  ICDM'2002. pp.19~26    Cited By 3[Bibtex] [PDF]
[32]Osmar R. ZaianeChi-Hoon LeeClustering Spatial Data when Facing Physical Constraints.  ICDM'2002. pp.737~740    Cited By 44[Bibtex] [PDF]
[31]Andrew FossOsmar R. ZaianeA Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets.  ICDM'2002. pp.179~186    Cited By 25[Bibtex] [PDF]
[30]Osmar R. ZaianeChi-Hoon LeeClustering Spatial Data in the Presence of Obstacles: a Density-Based Approach.  IDEAS'2002. pp.214~223    Cited By 14[Bibtex]
[29]Osmar R. ZaianeMaria-Luiza AntonieAlexandru ComanMammography Classification By an Association Rule-based Classifier.  MDM/KDD'2002. pp.62~69    Cited By 62[Bibtex] [PDF]
[28]Maria-Luiza AntonieOsmar R. ZaianeAlexandru ComanAssociative Classifiers for Medical Images.  Revised Papers from MDM/KDD and PAKDD/KDMCD'2002. pp.68~83    Cited By 33[Bibtex] [PDF]
[27]Osmar R. ZaianeAlexander StriletsFinding Similar Queries to Satisfy Searches Based on Query Traces.  OOIS Workshops'2002. pp.207~216    Cited By 18[Bibtex]
[26]Osmar R. ZaianeAndrew FossChi-Hoon LeeWeinan WangOn Data Clustering Analysis: Scalability, Constraints, and Validation.  PAKDD'2002. pp.28~39    Cited By 44[Bibtex] [PDF]
[25]Osmar R. ZaianeGuest Editor's Introduction - Special Issue on Multimedia Data Mining. J. Intell. Inf. Syst., 2002: 5~6   [Bibtex]
[24]Simeon J. SimoffChabane DjerabaOsmar R. ZaianeMDM/KDD 2002: Multimedia Data Mining between Promises and Problems. SIGKDD Explorations, 2002: 118~121    Cited By 9[Bibtex]
[23]Osmar R. ZaianeSimeon J. SimoffMDM/KDD: Multimedia Data Mining for the Second Time. SIGKDD Explorations, 2002: 65~67    Cited By 4[Bibtex]
[22]Brij M. MasandMyra SpiliopoulouJaideep SrivastavaOsmar R. ZaianeWEBKDD 2002 - Web Mining for Usage Patterns Profiles. SIGKDD Explorations, 2002: 125~125    Cited By 14[Bibtex]
2001(8)
[21]Ayman AmmouraOsmar R. ZaianeYuan JiImmersed Visual Data Mining: Walking the Walk.  BNCOD'2001. pp.202~218    Cited By 9[Bibtex]
[20]Ayman AmmouraOsmar R. ZaianeRandy GoebelTowards a Novel OLAP Interface for Distributed Data Warehouses.  DaWaK'2001. pp.174~185    Cited By 17[Bibtex]
[19]Hang CuiOsmar R. ZaianeHierarchically Structural Approach to Improving the Browsability of Web Search Engine Results.  DEXA Workshop'2001. pp.956~960   [Bibtex]
[18]Osmar R. ZaianeJun LuoTowards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment.  ICALT'2001. pp.357~360    Cited By 84[Bibtex] [PDF]
[17]Osmar R. ZaianeMohammad El-HajjPaul LuFast Parallel Association Rule Mining without Candidacy Generation.  ICDM'2001. pp.665~668    Cited By 59[Bibtex] [PDF]
[16]Maria-Luiza AntonieOsmar R. ZaianeAlexandru ComanApplication of Data Mining Techniques for Medical Image Classification.  MDM/KDD'2001. pp.94~101    Cited By 139[Bibtex] [PDF]
[15]Osmar R. ZaianeAyman AmmouraOn-Line Analytical Processing while Immersed in a Cave.  UIDIS'2001. pp.102~115   [Bibtex]
[14]Osmar R. ZaianeBuilding virtual web views. Data Knowl. Eng., 2001: 143~163    Cited By 17[Bibtex]
2000(4)
[13]Osmar R. ZaianeJiawei HanHua ZhuMining Recurrent Items in Multimedia with Progressive Resolution Refinement.  ICDE'2000. pp.461~470    Cited By 79[Bibtex]
[12]Simeon J. SimoffOsmar R. ZaianeMultimedia data mining (workshop session - title only).  KDD'2000. pp.534~534   [Bibtex]
[11]Bruce MatichukOsmar R. ZaianeUnsupervised Classification of Sound for Multimedia Indexing.  MDM/KDD'2000. pp.31~36    Cited By 1[Bibtex] [PDF]
[10]Simeon J. SimoffOsmar R. ZaianeReport on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining. SIGKDD Explorations, 2000: 103~105    Cited By 2[Bibtex]
1998(5)
[9]Osmar R. ZaianeMan XinJiawei HanDiscovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs.  ADL'1998. pp.19~29    Cited By 447[Bibtex] [PDF]
[8]Osmar R. ZaianeJiawei HanZe-Nian LiJean HouMining multimedia data.  CASCON'1998. pp.24~24    Cited By 68[Bibtex]
[7]Ze-Nian LiOsmar R. ZaianeBing YanC-BIRD: Content-Based Image Retrieval from Digital Libraries Using Illumination Invariance and Recognition Kernel.  DEXA Workshop'1998. pp.361~366    Cited By 10[Bibtex] [PDF]
[6]Osmar R. ZaianeJiawei HanZe-Nian LiSonny Han Seng CheeJenny ChiangMultiMediaMiner: A System Prototype for Multimedia Data Mining.  SIGMOD Conference'1998. pp.581~583    Cited By 118[Bibtex] [PDF]
[5]Osmar R. ZaianeJiawei HanWebML: Querying the World-Wide Web for Resources and Knowledge.  Workshop on Web Information and Data Management'1998. pp.9~12    Cited By 2[Bibtex] [PDF]
1997(1)
[4]Jiawei HanJenny ChiangSonny Han Seng CheeJianping ChenQing ChenShan ChengWan GongMicheline KamberKrzysztof KoperskiGang LiuYijun LuNebojsa StefanovicLara WinstoneBetty XiaOsmar R. ZaianeShuhua ZhangHua ZhuDBMiner: a system for data mining in relational databases and data warehouses.  CASCON'1997. pp.8~8    Cited By 61[Bibtex] [PDF]
1996(2)
[3]Jiawei HanYongjian FuWei WangJenny ChiangWan GongKrzysztof KoperskiDeyi LiYijun LuAmynmohamed RajanNebojsa StefanovicBetty XiaOsmar R. ZaianeDBMiner: A System for Mining Knowledge in Large Relational Databases.  KDD'1996. pp.250~255   [Bibtex] [PDF]
[2]Jiawei HanYongjian FuWei WangJenny ChiangOsmar R. ZaianeKrzysztof KoperskiDBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases.  SIGMOD Conference'1996. pp.550~550    Cited By 13[Bibtex] [PDF]
1995(1)
[1]Osmar R. ZaianeJiawei HanResource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment.  KDD'1995. pp.331~336    Cited By 31[Bibtex] [PDF]