BibSLEIGH — Jiawei

Travelled to:

1 × Austria
1 × Egypt
1 × Germany
1 × Greece
1 × Italy
1 × Korea
1 × Norway
1 × Switzerland
2 × Australia
2 × Chile
2 × Portugal
3 × France
3 × United Kingdom
46 × USA
7 × China
8 × Canada

Collaborated with:

X.Yan P.S.Yu Y.Sun C.Wang D.Xin J.Pei X.Li B.Zhao H.Cheng Y.Fu J.Gao L.V.S.Lakshmanan J.Wang Z.Li C.X.Lin W.Fan X.Yu C.Zhai T.Weninger Q.Gu P.Zhao Q.Mei H.Gonzalez B.Ding C.C.Aggarwal O.R.Zaïane C.Chen R.T.Ng A.El-Kishky T.Wu L.J.Henschen C.Liu K.Wang X.Yin H.Deng D.Cai M.Ji K.C.Chang H.Yu ∅ X.Ren W.Wang X.He J.Lee Y.Yu J.Yang Y.Cai N.Cercone L.Liu Z.Xie J.Chiang Q.Li J.Liu M.Danilevsky Y.Yin X.Jin J.Luo G.Dong R.Kays Z.Yin B.Norick D.Roth S.Cong D.A.Padua A.K.H.Tung K.Koperski Y.Li H.D.Kim F.Tao M.Kim L.Feng H.Lu A.Pang C.Zhai Y.Song C.Zhang H.Wang S.Kim B.W.Wah G.Brova W.Gong N.Stefanovic B.Lin D.W.Cheung W.V.Zhang H.Ji L.Su C.R.Voss T.F.L.Porta D.Lo L.Wang J.Tang Y.Kim C.Yuan W.Shen Y.Bisk J.Wang K.Whang X.J.Zhou B.He Y.Li A.Y.Wu M.Garland Q.Chen U.Dayal W.Jin Y.He M.Kamber W.S.Luk W.Zhang N.Zhuang C.Youn M.Xin F.Fumarola N.Desai L.A.Tang D.Zhang H.Kim U.Khandelwal X.Liu Y.Zheng X.Ma H.Zhuang A.G.Parameswaran H.Gui F.Wu T.K.H.Lei M.Gupta M.Barsky B.I.P.Rubinstein J.Gemmell H.Wang M.Winslett D.Malerba R.Li J.Jiang X.Shen K.Chakrabarti V.Ganti J.Hoeflinger J.Liu Y.Pan J.X.Yu T.Mah M.R.Lyu I.King Y.Li S.Zhi J.Shang L.Shou J.Lu T.Mao T.Yang R.Jin R.Jin Z.Wang L.Sun R.Cheng X.Li L.Liu M.Jiang S.Yang P.Nye S.Khoo C.Sun B.Jiang X.Lin X.Zhang Y.Zhang B.K.Bhargava M.Myslinska J.P.Sondag L.Fei S.P.Midkiff Y.Chen J.M.W.Lam Z.Li S.H.S.Chee Y.Huang C.Wang Y.Song M.Zhang Y.Li F.Han A.Leung X.Liu Q.He Y.Tian W.Lee J.McPherson R.Raina D.Fong D.Zhou G.J.Badros F.Zhu Q.Qu J.Huang H.Sun Y.Liu L.Cao F.Liang M.Fredrikson M.Christodorescu D.Zhang X.Gu J.Lee R.Redder Y.D.Cai D.Clutter G.Pape M.Welge L.Auvil H.Pinto B.Mortazavi-Asl M.Hsu W.Tong D.Yu B.Zong Y.Wu J.Song A.K.Singh H.Çam Y.Zhang P.Nguyen T.Taula J.Yan S.Gu Z.Chen Y.Jia J.Guo C.Wang Y.Zhu B.Shi K.H.Lei X.Cheng R.Kanade A.Zhang A.Goyal W.Kong A.Dong Y.Chang C.A.Gunter M.Demirbas S.Nguyen G.Chen B.Sturt K.Zhang O.Verscheure F.Ma M.Qiu B.Liao D.Li Y.Lu A.Rajan B.Xia J.M.Hailpern T.J.Johnston S.Kallumadi Z.Li D.McCloskey N.E.TeGrotenhuis J.Ge A.Kao N.C.Oza A.N.Srivastava R.Tjoelker

Talks about:

mine (77) network (41) data (36) pattern (28) base (24) databas (23) inform (22) heterogen (20) cube (20) approach (19)

Person: Jiawei Han

DBLP: Han:Jiawei

Facilitated 1 volumes:

Contributed to:

2015

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2012

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2012

Wrote 191 papers:

KDD-2015-KimHY #mining #named #topic: TOPTRAC: Topical Trajectory Pattern Mining (YK, JH, CY), pp. 587–596.
KDD-2015-LiLGSZFH #evolution #on the: On the Discovery of Evolving Truth (YL, QL, JG, LS, BZ, WF, JH), pp. 675–684.
KDD-2015-MaLLQGZSZJH #crowdsourcing #fine-grained #named: FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation (FM, YL, QL, MQ, JG, SZ, LS, BZ, HJ, JH), pp. 745–754.
KDD-2015-RenEWH #approach #automation #corpus #mining #network #recognition #type system: Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.
KDD-2015-RenEWTVH #clustering #effectiveness #named #recognition #type system: ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering (XR, AEK, CW, FT, CRV, JH), pp. 995–1004.
KDD-2015-WangLSH #approach #composition #interactive #recursion #topic #towards: Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach (CW, XL, YS, JH), pp. 1225–1234.
KDD-2015-WangSERZH #clustering #documentation #network: Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDD-2015-ZhangZMH #assembly #co-evolution #named #performance: Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data (CZ, YZ, XM, JH), pp. 1415–1424.
KDD-2015-ZhiZTGYJH #modelling: Modeling Truth Existence in Truth Discovery (SZ, BZ, WT, JG, DY, HJ, JH), pp. 1543–1552.
KDD-2015-ZhuangPRH #crowdsourcing: Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.
SIGIR-2015-ZhangGKDDCGH #adaptation #feedback #named #query: adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback (AZ, AG, WK, HD, AD, YC, CAG, JH), pp. 143–152.
SIGMOD-2015-LiuSWRH #corpus #mining #quality: Mining Quality Phrases from Massive Text Corpora (JL, JS, CW, XR, JH), pp. 1729–1744.
VLDB-2015-El-KishkySWVH14 #corpus #mining #scalability #topic: Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
VLDB-2015-GaoLZFH #crowdsourcing #perspective: Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective (JG, QL, BZ, WF, JH), pp. 2048–2059.
VLDB-2015-LiLGSZDFH14 #approach: A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (QL, YL, JG, LS, BZ, MD, WF, JH), pp. 425–436.
CIKM-2014-GuiSHB #modelling #multi #network #topic: Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
KDD-2014-HanWE #mining #topic: Bringing structure to text: mining phrases, entities, topics, and hierarchies (JH, CW, AEK), p. 1968.
KDD-2014-RenLYKGWH #clustering #effectiveness #named #recommendation: ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
KDD-2014-ZongWSSCHY #mining #scalability #towards: Towards scalable critical alert mining (BZ, YW, JS, AKS, HÇ, JH, XY), pp. 1057–1066.
SIGMOD-2014-HanW #mining: Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.
SIGMOD-2014-LiLGZFH #estimation #reliability #semistructured data: Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation (QL, YL, JG, BZ, WF, JH), pp. 1187–1198.
SIGMOD-2014-ShenHW #network #probability #web: A probabilistic model for linking named entities in web text with heterogeneous information networks (WS, JH, JW), pp. 1199–1210.
SIGMOD-2014-TaoBHJWNELRS #automation #named #network: NewsNetExplorer: automatic construction and exploration of news information networks (FT, GB, JH, HJ, CW, BN, AEK, JL, XR, YS), pp. 1091–1094.
VLDB-2014-WuLLH #mining: MoveMine 2.0: Mining Object Relationships from Movement Data (FW, TKHL, ZL, JH), pp. 1613–1616.
VLDB-2014-ZhangHSLP #fine-grained #mining #named #semantics: Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories (CZ, JH, LS, JL, TFLP), pp. 769–780.
CIKM-2013-WangYLZH #network #summary #topic #word: Content coverage maximization on word networks for hierarchical topic summarization (CW, XY, YL, CZ, JH), pp. 249–258.
KDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data #topic: AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data (MD, CW, FT, SN, GC, ND, LW, JH), pp. 1458–1461.
KDD-2013-GuALH #classification #graph: Selective sampling on graphs for classification (QG, CCA, JL, JH), pp. 131–139.
KDD-2013-LiWHHRY #ambiguity #mining: Mining evidences for named entity disambiguation (YL, CW, FH, JH, DR, XY), pp. 1070–1078.
KDD-2013-TangYGHLP #cyber-physical #mining: Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system (LAT, XY, QG, JH, AL, TFLP), pp. 410–418.
KDD-2013-TaoLHZCDDDGJKKLLLLOSTWZZ #mining #multi #named: EventCube: multi-dimensional search and mining of structured and text data (FT, KHL, JH, CZ, XC, MD, ND, BD, JG, HJ, RK, AK, QL, YL, CXL, JL, NCO, ANS, RT, CW, DZ, BZ), pp. 1494–1497.
KDD-2013-WangDDZNTH #framework #mining #recursion #topic: A phrase mining framework for recursive construction of a topical hierarchy (CW, MD, ND, YZ, PN, TT, JH), pp. 437–445.
RecSys-2013-YuRSSKGNH #feedback #network #recommendation: Recommendation in heterogeneous information networks with implicit user feedback (XY, XR, YS, BS, UK, QG, BN, JH), pp. 347–350.
SIGMOD-2013-TaoYLBCHKSWWW #analysis #named #network #research: Research-insight: providing insight on research by publication network analysis (FT, XY, KHL, GB, XC, JH, RK, YS, CW, LW, TW), pp. 1093–1096.
CIKM-2012-WeningerBH #documentation #graph #topic: Document-topic hierarchies from document graphs (TW, YB, JH), pp. 635–644.
CIKM-2012-YuSNMH #network #similarity #using: User guided entity similarity search using meta-path selection in heterogeneous information networks (XY, YS, BN, TM, JH), pp. 2025–2029.
HT-2012-WeningerZH #using #web: Building enriched web page representations using link paths (TW, CZ, JH), pp. 53–62.
ICML-2012-JiYLJH #algorithm #bound #fault #learning: A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound (MJ, TY, BL, RJ, JH), p. 110.
KDD-2012-GuptaGSH #community #detection #mining: Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.
KDD-2012-JiLHCH #parallel #ranking: Parallel field ranking (MJ, BL, XH, DC, JH), pp. 723–731.
KDD-2012-LiWH #mining: Mining event periodicity from incomplete observations (ZL, JW, JH), pp. 444–452.
KDD-2012-LiuHTLMH #network #online #social: Event-based social networks: linking the online and offline social worlds (XL, QH, YT, WCL, JM, JH), pp. 1032–1040.
KDD-2012-SunNHYYY #clustering #network: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDD-2012-YuSZH #network #semantics: Query-driven discovery of semantically similar substructures in heterogeneous networks (XY, YS, PZ, JH), pp. 1500–1503.
SIGMOD-2012-DingWJHW #keyword #optimisation #taxonomy: Optimizing index for taxonomy keyword search (BD, HW, RJ, JH, ZW), pp. 493–504.
VLDB-2012-BarskyKWH11 #correlation #dataset #mining #scalability #taxonomy: Mining Flipping Correlations from Large Datasets with Taxonomies (MB, SK, TW, JH), pp. 370–381.
VLDB-2012-SunAH #clustering #network: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDB-2012-SunHYY #analysis #approach #mining #network: Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDB-2012-ZhaoRGH #approach #integration: A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration (BZ, BIPR, JG, JH), pp. 550–561.
CIKM-2011-GuH #feature model #network #towards: Towards feature selection in network (QG, JH), pp. 1175–1184.
CIKM-2011-GuLH #correlation #feature model #multi: Correlated multi-label feature selection (QG, ZL, JH), pp. 1087–1096.
CIKM-2011-ZhaoLDH #database #keyword #multi #named: TEXplorer: keyword-based object search and exploration in multidimensional text databases (BZ, CXL, BD, JH), pp. 1709–1718.
KDD-2011-DengHZYL #modelling #network #probability #topic: Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDD-2011-JiHD #classification #network: Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.
KDD-2011-JinWLYH #mining #named #network #power of #social #social media: LikeMiner: a system for mining the power of “like” in social media networks (XJ, CW, JL, XY, JH), pp. 753–756.
SIGIR-2011-DengZH #modelling #network #topic: Collective topic modeling for heterogeneous networks (HD, BZ, JH), pp. 1109–1110.
SIGIR-2011-JiYGHHZC #graph #learning #query #web: Learning search tasks in queries and web pages via graph regularization (MJ, JY, SG, JH, XH, WVZ, ZC), pp. 55–64.
SIGIR-2011-KimKWHK #approach #classification #mining: Authorship classification: a discriminative syntactic tree mining approach (SK, HK, TW, JH, HDK), pp. 455–464.
SIGIR-2011-WangRFZHB #learning #network #online #social: Learning relevance from heterogeneous social network and its application in online targeting (CW, RR, DF, DZ, JH, GJB), pp. 655–664.
SIGIR-2011-WangWZH #learning #online #random: Learning online discussion structures by conditional random fields (HW, CW, CZ, JH), pp. 435–444.
SIGMOD-2011-DingWHL #consistency #optimisation: Differentially private data cubes: optimizing noise sources and consistency (BD, MW, JH, ZL), pp. 217–228.
SIGMOD-2011-WeningerDFHHJKKLMSTWY #analysis #named #network: WINACS: construction and analysis of web-based computer science information networks (TW, MD, FF, JMH, JH, TJJ, SK, HK, ZL, DM, YS, NET, CW, XY), pp. 1255–1258.
SIGMOD-2011-ZhaoLXH #graph #multi #network: Graph cube: on warehousing and OLAP multidimensional networks (PZ, XL, DX, JH), pp. 853–864.
VLDB-2011-JinLLH #data mining #detection #named #network #social #social media: SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks (XJ, CXL, JL, JH), pp. 1458–1461.
VLDB-2011-SunCLCH #on the #similarity: On Link-based Similarity Join (LS, RC, XL, DWC, JH), pp. 714–725.
VLDB-2011-SunHYYW #named #network #similarity: PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks (YS, JH, XY, PSY, TW), pp. 992–1003.
VLDB-2011-ZhuQLYHY #mining #network #scalability: Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
CIKM-2010-HuangSHDSL #algorithm #clustering #community #detection #named #network: SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks (JH, HS, JH, HD, YS, YL), pp. 219–228.
CIKM-2010-JinHCLDL #image #online #visual notation: Visual cube and on-line analytical processing of images (XJ, JH, LC, JL, BD, CXL), pp. 849–858.
CIKM-2010-LiuTHJY #mining #network #topic: Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
CIKM-2010-WeningerFHM #database #web: Mapping web pages to database records via link paths (TW, FF, JH, DM), pp. 1637–1640.
ECIR-2010-KimZH #multi #order: Aggregation of Multiple Judgments for Evaluating Ordered Lists (HDK, CZ, JH), pp. 166–178.
KDD-2010-GaoLFWSH #community #detection #network #on the #performance: On community outliers and their efficient detection in information networks (JG, FL, WF, CW, YS, JH), pp. 813–822.
KDD-2010-LiDHKN #behaviour #mining: Mining periodic behaviors for moving objects (ZL, BD, JH, RK, PN), pp. 1099–1108.
KDD-2010-LinZMH #community #named #social #statistics: PET: a statistical model for popular events tracking in social communities (CXL, BZ, QM, JH), pp. 929–938.
KDD-2010-WangHJTZYG #mining #network #research: Mining advisor-advisee relationships from research publication networks (CW, JH, YJ, JT, DZ, YY, JG), pp. 203–212.
SIGMOD-2010-HanSYY #analysis #approach #database #mining #network: Mining knowledge from databases: an information network analysis approach (JH, YS, XY, PSY), pp. 1251–1252.
SIGMOD-2010-LiJLTYHK #database #mining #named: MoveMine: mining moving object databases (ZL, MJ, JGL, LAT, YY, JH, RK), pp. 1203–1206.
VLDB-2010-LiDHK #clustering #mining #named: Swarm: Mining Relaxed Temporal Moving Object Clusters (ZL, BD, JH, RK), pp. 723–734.
VLDB-2010-ZhaoH #graph #network #on the #optimisation #query #scalability: On Graph Query Optimization in Large Networks (PZ, JH), pp. 340–351.
CIKM-2009-ZhaoHS #named #network #similarity: P-Rank: a comprehensive structural similarity measure over information networks (PZ, JH, YS), pp. 553–562.
KDD-2009-GaoFSH #learning: Heterogeneous source consensus learning via decision propagation and negotiation (JG, WF, YS, JH), pp. 339–348.
KDD-2009-LoCHKS #approach #behaviour #classification #detection #mining: Classification of software behaviors for failure detection: a discriminative pattern mining approach (DL, HC, JH, SCK, CS), pp. 557–566.
KDD-2009-SunYH #clustering #network: Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.
KDD-2009-YinLMH #classification #graph #social #web: Exploring social tagging graph for web object classification (ZY, RL, QM, JH), pp. 957–966.
VLDB-2009-ChenLFCYH #graph #mining #random #summary: Mining Graph Patterns Efficiently via Randomized Summaries (CC, CXL, MF, MC, XY, JH), pp. 742–753.
VLDB-2009-KimH #clustering #network: A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
VLDB-2009-WuXMH #analysis #multi: Promotion Analysis in Multi-Dimensional Space (TW, DX, QM, JH), pp. 109–120.
VLDB-2009-YuLSCHLWZZZ #named: iNextCube: Information Network-Enhanced Text Cube (YY, CXL, YS, CC, JH, BL, TW, CZ, DZ, BZ), pp. 1622–1625.
CIKM-2008-CaiMHZ #documentation #modelling #topic: Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.
CIKM-2008-ChenLYH #approach #effectiveness #graph #on the: On effective presentation of graph patterns: a structural representative approach (CC, CXL, XY, JH), pp. 299–308.
KDD-2008-FanZCGYHYV #mining #modelling: Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.
KDD-2008-GaoFJH #information management #multi: Knowledge transfer via multiple model local structure mapping (JG, WF, JJ, JH), pp. 283–291.
KDD-2008-JiangPLCH #mining: Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.
SIGMOD-2008-LiHYLS #framework #statistics: Sampling cube: a framework for statistical olap over sampling data (XL, JH, ZY, JGL, YS), pp. 779–790.
SIGMOD-2008-SunWYCHYZ #mining #named #network: BibNetMiner: mining bibliographic information networks (YS, TW, ZY, HC, JH, XY, PZ), pp. 1341–1344.
SIGMOD-2008-WuXH #named #query #ranking: ARCube: supporting ranking aggregate queries in partially materialized data cubes (TW, DX, JH), pp. 79–92.
SIGMOD-2008-YanCHY #graph #mining: Mining significant graph patterns by leap search (XY, HC, JH, PSY), pp. 433–444.
VLDB-2008-LeeHLG #classification #clustering #named #using: TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering (JGL, JH, XL, HG), pp. 1081–1094.
CIKM-2007-CaiHZH #locality: Regularized locality preserving indexing via spectral regression (DC, XH, WVZ, JH), pp. 741–750.
ICSM-2007-LiuZHB #approach: Indexing Noncrashing Failures: A Dynamic Program Slicing-Based Approach (CL, XZ, YZ, JH, BKB), pp. 455–464.
KDD-2007-YinHY #multi #web: Truth discovery with multiple conflicting information providers on the web (XY, JH, PSY), pp. 1048–1052.
SIGMOD-2007-LeeHW #clustering #framework: Trajectory clustering: a partition-and-group framework (JGL, JH, KYW), pp. 593–604.
SIGMOD-2007-XinHC #ad hoc #ranking: Progressive and selective merge: computing top-k with ad-hoc ranking functions (DX, JH, KCCC), pp. 103–114.
VLDB-2007-ChenYYHZG #graph #towards: Towards Graph Containment Search and Indexing (CC, XY, PSY, JH, DQZ, XG), pp. 926–937.
VLDB-2007-GonzalezHLMS #adaptation #approach #mining #network #performance: Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach (HG, JH, XL, MM, JPS), pp. 794–805.
VLDB-2007-LiH #approximate #mining #multi: Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data (XL, JH), pp. 447–458.
VLDB-2007-WuLXHLR #database #named: DataScope: Viewing Database Contents in Google Maps’ Way (TW, XL, DX, JH, JL, RR), pp. 1314–1317.
CIKM-2006-GonzalezHL #mining #set #workflow: Mining compressed commodity workflows from massive RFID data sets (HG, JH, XL), pp. 162–171.
FSE-2006-LiuH #approach #fault #proximity: Failure proximity: a fault localization-based approach (CL, JH), pp. 46–56.
KDD-2006-LiuCHY #analysis #dependence #detection #graph #named: GPLAG: detection of software plagiarism by program dependence graph analysis (CL, CC, JH, PSY), pp. 872–881.
KDD-2006-MeiXCHZ #analysis #generative #semantics: Generating semantic annotations for frequent patterns with context analysis (QM, DX, HC, JH, CZ), pp. 337–346.
KDD-2006-XinCYH: Extracting redundancy-aware top-k patterns (DX, HC, XY, JH), pp. 444–453.
KDD-2006-XinSMH #feedback #interactive: Discovering interesting patterns through user’s interactive feedback (DX, XS, QM, JH), pp. 773–778.
SIGIR-2006-CaiHH #analysis #documentation: Tensor space model for document analysis (DC, XH, JH), pp. 625–626.
SIGMOD-2006-ChakrabartiGHX #ranking: Ranking objects based on relationships (KC, VG, JH, DX), pp. 371–382.
VLDB-2006-GonzalezHL #analysis #multi #named: FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows (HG, JH, XL), pp. 834–845.
VLDB-2006-XinCH #query #robust #towards: Towards Robust Indexing for Ranked Queries (DX, CC, JH), pp. 235–246.
VLDB-2006-XinHCL #approach #multi #query #ranking: Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach (DX, JH, HC, XL), pp. 463–475.
VLDB-2006-YinHY #clustering #named #performance #semantics: LinkClus: Efficient Clustering via Heterogeneous Semantic Links (XY, JH, PSY), pp. 427–438.
ESEC-FSE-2005-LiuYFHM #debugging #locality #modelling #named #statistics: SOBER: statistical model-based bug localization (CL, XY, LF, JH, SPM), pp. 286–295.
KDD-2005-CongHP #mining #parallel: Parallel mining of closed sequential patterns (SC, JH, DAP), pp. 562–567.
KDD-2005-YanCHX #approach: Summarizing itemset patterns: a profile-based approach (XY, HC, JH, DX), pp. 314–323.
KDD-2005-YanZH #constraints #graph #mining #relational: Mining closed relational graphs with connectivity constraints (XY, XJZ, JH), pp. 324–333.
KDD-2005-YinHY #clustering: Cross-relational clustering with user’s guidance (XY, JH, PSY), pp. 344–353.
PPoPP-2005-CongHHP #data mining #framework #mining #parallel: A sampling-based framework for parallel data mining (SC, JH, JH, DAP), pp. 255–265.
SIGMOD-2005-WangWZSPYH #database #graph #named #scalability: GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications (WW, CW, YZ, BS, JP, XY, JH), pp. 879–881.
SIGMOD-2005-YanYH #database #graph #similarity: Substructure Similarity Search in Graph Databases (XY, PSY, JH), pp. 766–777.
VLDB-2005-XinHYC #mining #set: Mining Compressed Frequent-Pattern Sets (DX, JH, XY, HC), pp. 709–720.
KDD-2004-AggarwalHWY #classification #data type #on the: On demand classification of data streams (CCA, JH, JW, PSY), pp. 503–508.
KDD-2004-ChengYH #database #incremental #mining #named #scalability: IncSpan: incremental mining of sequential patterns in large database (HC, XY, JH), pp. 527–532.
KDD-2004-HeCH #approach #correlation #interface #mining #query #web: Discovering complex matchings across web query interfaces: a correlation mining approach (BH, KCCC, JH), pp. 148–157.
KDD-2004-LiHY #clustering: Clustering moving objects (YL, JH, JY), pp. 617–622.
KDD-2004-WuGH #clustering #mining #network #using: Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.
SIGMOD-2004-CaiCPHWA #data type #mining #named: MAIDS: Mining Alarming Incidents from Data Streams (YDC, DC, GP, JH, MW, LA), pp. 919–920.
SIGMOD-2004-YanYH #approach #graph: Graph Indexing: A Frequent Structure-based Approach (XY, PSY, JH), pp. 335–346.
VLDB-2004-AggarwalHWY #clustering #data type #framework: A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
VLDB-2004-LiHG #approach: High-Dimensional OLAP: A Minimal Cubing Approach (XL, JH, HG), pp. 528–539.
CIKM-2003-YuZH #classification #documentation: Text classification from positive and unlabeled documents (HY, CZ, JH), pp. 232–239.
KDD-2003-WangFYH #classification #concept #data type #mining #using: Mining concept-drifting data streams using ensemble classifiers (HW, WF, PSY, JH), pp. 226–235.
KDD-2003-WangHP #mining: CLOSET+: searching for the best strategies for mining frequent closed itemsets (JW, JH, JP), pp. 236–245.
KDD-2003-YanH #graph #mining #named: CloseGraph: mining closed frequent graph patterns (XY, JH), pp. 286–295.
KDD-2003-YuYH #clustering #scalability #set #using: Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
VLDB-2003-AggarwalHWY #clustering #data type #evolution #framework: A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
VLDB-2003-XinHLW #bottom-up #integration #named #top-down: Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration (DX, JH, XL, BWW), pp. 476–487.
CIKM-2002-PeiHW #constraints #database #mining #scalability: Mining sequential patterns with constraints in large databases (JP, JH, WW), pp. 18–25.
KDD-2002-LiuPWH #mining #set: Mining frequent item sets by opportunistic projection (JL, YP, KW, JH), pp. 229–238.
KDD-2002-YuHC #classification #learning #named #using #web: PEBL: positive example based learning for Web page classification using SVM (HY, JH, KCCC), pp. 239–248.
SIGMOD-2002-HanWDPW #named #online: CubeExplorer: online exploration of data cubes (JH, JW, GD, JP, KW), p. 626.
SIGMOD-2002-YangWYH #mining: Mining long sequential patterns in a noisy environment (JY, WW, PSY, JH), pp. 406–417.
VLDB-2002-ChenHWW #analysis #data type #multi: Multi-Dimensional Regression Analysis of Time-Series Data Streams (YC, GD, JH, BWW, JW), pp. 323–334.
VLDB-2002-LakshmananPH #how #semantics: Quotient Cube: How to Summarize the Semantics of a Data Cube (LVSL, JP, JH), pp. 778–789.
CIKM-2001-PintoHPWCD #mining #multi: Multi-Dimensional Sequential Pattern Mining (HP, JH, JP, KW, QC, UD), pp. 81–88.
KDD-2001-JinTH #database #mining #scalability: Mining top-n local outliers in large databases (WJ, AKHT, JH), pp. 293–298.
KDD-T-2001-HanLP #bibliography #mining #perspective #scalability: Scalable frequent-pattern mining methods: an overview (JH, LVSL, JP), pp. 264–324.
VLDB-2001-DongHLPW #mining #multi: Mining Multi-Dimensional Constrained Gradients in Data Cubes (GD, JH, JMWL, JP, KW), pp. 321–330.
KDD-2000-HanPMCDH #mining #named: FreeSpan: frequent pattern-projected sequential pattern mining (JH, JP, BMA, QC, UD, MH), pp. 355–359.
KDD-2000-PeiH #constraints #mining #question: Can we push more constraints into frequent pattern mining? (JP, JH), pp. 350–354.
SIGMOD-2000-HanPY #generative #mining: Mining Frequent Patterns without Candidate Generation (JH, JP, YY), pp. 1–12.
VLDB-2000-WangHH #constraints #mining #using: Mining Frequent Itemsets Using Support Constraints (KW, YH, JH), pp. 43–52.
CIKM-1999-FengLYH #mining #transaction: Mining Inter-Transaction Associations with Templates (LF, HL, JXY, JH), pp. 225–233.
KDD-1999-TungLHF #mining #transaction: Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules (AKHT, HL, JH, LF), pp. 297–301.
SIGMOD-1999-LakshmananNHP #constraints #optimisation #query #set: Optimization of Constrained Frequent Set Queries with 2-variable Constraints (LVSL, RTN, JH, AP), pp. 157–168.
SIGMOD-1999-NgLHM #mining #query #set: Exploratory Mining via Constrained Frequent Set Queries (RTN, LVSL, JH, TM), pp. 556–558.
KDD-1998-HanGY #database #mining: Mining Segment-Wise Periodic Patterns in Time-Related Databases (JH, WG, YY), pp. 214–218.
SIGMOD-1998-NgLHP #mining #optimisation: Exploratory Mining and Pruning Optimizations of Constrained Association Rules (RTN, LVSL, JH, AP), pp. 13–24.
SIGMOD-1998-ZaianeHLCC #data mining #mining #multi #named #prototype: MultiMediaMiner: A System Prototype for Multimedia Data Mining (ORZ, JH, ZNL, SHSC, JC), pp. 581–583.
KDD-1997-KamberHC #mining #multi #using: Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes (MK, JH, JC), pp. 207–210.
SIGMOD-1997-HanKS #data mining #mining #named #prototype: GeoMiner: A System Prototype for Spatial Data Mining (JH, KK, NS), pp. 553–556.
AKDDM-1996-HanF #data mining #induction #mining: Attribute-Oriented Induction in data Mining (JH, YF), pp. 399–421.
KDD-1996-HanFWCGKLLRSXZ #database #mining #named #relational #scalability: DBMiner: A System for Mining Knowledge in Large Relational Databases (JH, YF, WW, JC, WG, KK, DL, YL, AR, NS, BX, ORZ), pp. 250–255.
SIGMOD-1996-Han #data mining #mining: Data Mining Techniques (JH), p. 545.
SIGMOD-1996-HanFWCZK #database #interactive #mining #multi #named #relational: DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases (JH, YF, WW, JC, ORZ, KK), p. 550.
CIKM-1995-Han #concept #mining #multi: Mining Knowledge at Multiple Concept Levels (JH), pp. 19–24.
KDD-1995-ZaianeH #design #empirical #information management: Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment (ORZ, JH), pp. 331–336.
VLDB-1995-HanF #database #multi #scalability: Discovery of Multiple-Level Association Rules from Large Databases (JH, YF), pp. 420–431.
CIKM-1994-HanLX #database #deduction #named #prototype: LogicBase: A Deductive Database System Prototype (JH, LL, ZX), pp. 226–233.
KDD-1994-HanF #concept #database #generative #information management #refinement: Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases (JH, YF), pp. 157–168.
SIGMOD-1994-HanFHCC #database #information management #named #prototype #relational: DBLearn: A System Prototype for Knowledge Discovery in Relational Databases (JH, YF, YH, YC, NC), p. 516.
VLDB-1994-NgH #clustering #data mining #effectiveness #mining #performance: Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.
VLDB-1994-XieH #database #object-oriented #performance: Join Index Hierarchies for Supporting Efficient Navigations in Object-Oriented Databases (ZX, JH), pp. 522–533.
ILPS-1993-HanL #evaluation #recursion #source code: Evaluation of Regular Nonlinear Recursive Programs (JH, LVSL), p. 648.
VLDB-1992-HanCC #approach #database #information management: Knowledge Discovery in Databases: An Attribute-Oriented Approach (JH, YC, NC), pp. 547–559.
KDD-1991-CaiCH #database #induction #relational: Attribute-Oriented Induction in Relational Databases (YC, NC, JH), pp. 213–228.
SEKE-1990-LukZH #approach #database #named #relational: Path: An Approach to Incorporate List Processing in A Relational Database (WSL, WZ, JH), pp. 189–194.
NACLP-1989-HanL #linear #multi #recursion: Processing Multiple Linear Recursions (JH, LL), pp. 816–830.
SEKE-1989-HanHZ #compilation #set: Derivation of Magic Sets by Compilation (JH, LJH, NZ), pp. 164–171.
SIGMOD-1988-YounHH #classification #database #deduction #recursion: Classification of Recursive Formulas in Deductive Databases (CY, LJH, JH), pp. 320–328.
SIGMOD-1987-HanH #database #query #recursion: Handling Redundancy in the Processing of Recursive Database Queries (JH, LJH), pp. 73–81.
ADL-1998-ZaianeXH #data access #data mining #mining #roadmap #web: Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs (ORZ, MX, JH), pp. 19–29.
JCDL-2012-DengHLK #modelling #network #ranking: Modeling and exploiting heterogeneous bibliographic networks for expertise ranking (HD, JH, MRL, IK), pp. 71–80.