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Jiawei Han

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  • 2021

    Data Mining and Knowledge Discovery

    Zhang, C. & Han, J., 2021, Urban Book Series. Springer, p. 797-814 18 p. (Urban Book Series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access
  • 2016

    Efficient direct mining of selective discriminative patterns for classification

    Cheng, H., Han, J., Yan, X. & Yu, P. S., Apr 19 2016, Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, p. 39-58 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2015

    Truth discovery and crowdsourcing aggregation: A unified perspective

    Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., 2015, Proceedings of the VLDB Endowment. 12 ed. Association for Computing Machinery, p. 2048-2049 2 p. (Proceedings of the VLDB Endowment; vol. 8, no. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2014

    Active learning: A survey

    Aggarwal, C. C., Kong, X., Gu, Q., Han, J. & Yu, P. S., Jan 1 2014, Data Classification: Algorithms and Applications. CRC Press, p. 571-605 35 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mining graph patterns

    Cheng, H., Yan, X. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer, Vol. 9783319078212. p. 307-338 32 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data

    Li, Z. & Han, J., 2014, Studies in Big Data. Springer, p. 41-81 41 p. (Studies in Big Data; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Pattern-growth methods

    Han, J. & Pei, J., Jul 1 2014, Frequent Pattern Mining. Springer, Vol. 9783319078212. p. 65-81 17 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Probabilistic models for classification

    Deng, H., Sun, Y., Chang, Y. & Han, J., Jan 1 2014, Data Classification: Algorithms and Applications. Aggarwal, C. C. (ed.). CRC Press, p. 65-86 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Sequential pattern mining

    Shen, W., Wang, J. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer, Vol. 9783319078212. p. 261-282 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Spectral Clustering

    Liu, J. & Han, J., 2014, Data Clustering: Algorithms and Applications. Aggarwal, C. C. & Reddy, C. K. (eds.). Chapman and Hall/CRC, p. 177-200 (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2013

    A multi-graph spectral framework for mining multi-source anomalies

    Gao, J., Du, N., Fan, W., Turaga, D., Parthasarathy, S. & Han, J., Jan 1 2013, Graph Embedding for Pattern Analysis. Springer, p. 205-227 23 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • A survey of datamining methods for sensor network bug diagnosis

    Abdelzaher, T. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer, Vol. 9781461463092. p. 429-458 30 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • A survey of RFID data processing

    Aggarwal, C. C. & Han, J., Jul 1 2013, Managing and Mining Sensor Data. Springer, Vol. 9781461463092. p. 349-382 34 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2012

    Probabilistic models for text mining

    Sun, Y., Deng, H. & Han, J., Aug 1 2012, Mining Text Data. Springer, Vol. 9781461432234. p. 259-295 37 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2011

    Applications of pattern discovery using sequential data mining

    Gupta, M. & Han, J., 2011, Pattern Discovery Using Sequence Data Mining: Applications and Studies. IGI Global, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Approaches for pattern discovery using sequential data mining

    Gupta, M. & Han, J., 2011, Pattern Discovery Using Sequence Data Mining: Applications and Studies. IGI Global, p. 137-154 18 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Specification mining: A concise introduction

    Lo, D., Khoo, S. C., Liu, C. & Han, J., Jan 1 2011, Mining Software Specifications: Methodologies and Applications. CRC Press, p. 1-27 27 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2010

    Discriminative frequent pattern-based graph classification

    Cheng, H., Yan, X. & Han, J., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 237-262 26 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • InfoNetOLAP: OLAP and mining of information networks

    Chen, C., Zhu, F., Yan, X., Han, J., Yu, P. & Ramakrishnan, R., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 411-438 28 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Integrating clustering with ranking in heterogeneous information networks analysis

    Sun, Y. & Han, J., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 439-473 35 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mining large information networks by graph summarization

    Chen, C., Lin, C. X., Fredrikson, M., Christodorescu, M., Yan, X. & Han, J., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 475-501 27 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Scalable link-based similarity computation and clustering

    Yin, X., Han, J. & Yu, P. S., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 45-71 27 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Veracity analysis and object distinction

    Yin, X., Han, J. & Yu, P. S., 2010, Link Mining: Models, Algorithms, and Applications. Springer, Vol. 9781441965158. p. 283-304 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2009

    An overview of clustering methods in geographic data analysis

    Han, J., Lee, J. G. & Kamber, M., Jan 1 2009, Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, p. 149-188 40 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access

  • Fundamentals of spatial data warehousing for geographic knowledge discovery

    Bédard, Y. & Han, J., Jan 1 2009, Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, p. 45-68 24 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access

  • Geographic data mining and knowledge discovery: Second edition

    Miller, H. J. & Han, J., Jan 1 2009, Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, p. 1-475 475 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access

  • Ranking gradients in multi-dimensional spaces

    Alves, R., Ribeiro, J., Belo, O. & Han, J., 2009, Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications. IGI Global, p. 251-269 19 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Warehousing RFID and location-based sensor data

    Gonzalez, H., Han, J., Cheng, H. & Wu, T., 2009, Intelligent Techniques for Warehousing and Mining Sensor Network Data. IGI Global, p. 50-71 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2008

    Anomaly detection in moving object

    Li, X., Han, J., Kim, S. & Gonzalez, H., 2008, Intelligence and Security Informatics: Techniques and Applications. Chen, H. & Yang, C. (eds.). p. 357-381 25 p. (Studies in Computational Intelligence; vol. 135).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Approximate frequent itemset mining in the presence of random noise

    Cheng, H., Yu, P. S. & Han, J., 2008, Soft Computing for Knowledge Discovery and Data Mining. Springer, p. 363-389 27 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Privacy-preserving data publishing: A constraint-based clustering approach

    Tung, A. K. H., Han, J., Lakshmanan, L. V. S. & Ng, R. T., Jan 1 2008, Constrained Clustering: Advances in Algorithms, Theory, and Applications. CRC Press, p. 375-396 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • RFID data warehousing and analysis

    Gonzalez, H. & Han, J., Mar 5 2008, The Internet of Things: From RFID to the Next-Generation Pervasive Networked Systems. CRC Press, p. 53-80 28 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2006

    Discovery of Frequent Substructures

    Yan, X. & Han, J., Apr 10 2006, Mining Graph Data. John Wiley & Sons, Ltd., p. 97-115 19 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2004

    A Framework for Projected Clustering of High Dimensional Data Streams

    Aggarwal, C. C., Yu, P. S., Han, J. & Wang, J., Jan 1 2004, Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB). Elsevier, p. 852-863 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access

  • High-Dimensional OLAP

    Li, X., Han, J. & Gonzalez, H., Jan 1 2004, Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB). Elsevier, p. 528-539 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mining thick skylines over large databases

    Jin, W., Han, J. & Ester, M., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Boulicaut, J.-F., Esposito, F., Giannotti, F. & Pedreschi, D. (eds.). Springer, p. 255-266 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3202).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access
  • 2003

    A Framework for Clustering Evolving Data Streams

    Aggarwal, C. C., Yu, P. S., Han, J. & Wang, J., Jan 1 2003, Proceedings 2003 VLDB Conference: 29th International Conference on Very Large Databases (VLDB). Elsevier, p. 81-92 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mining typical preferences of collaborative user groups

    Ko, S. J. & Han, J., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Song, I.-Y., Liddle, S. W., Ling, T. W. & Scheuermann, P. (eds.). Springer, p. 419-432 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2813).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration

    Xin, D., Han, J., Li, X. & Wah, B. W., Jan 1 2003, Proceedings 2003 VLDB Conference: 29th International Conference on Very Large Databases (VLDB). Elsevier, p. 476-487 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter