Conference Data Mining Using Fractals and Power Laws 2006 • Lecture Notes in Computer Science • 3955:2-2 Faloutsos C
Conference Detecting Fraudulent Personalities in Networks of Online Auctioneers 2006 • Lecture Notes in Computer Science • 4213:103-114 Chau DH, Pandit S, Faloutsos C
Conference Distributed pattern discovery in multiple streams 2006 • Lecture Notes in Computer Science • 3918:713-718 Sun J, Papadimitriou S, Faloutsos C
Conference Efficient processing of complex similarity queries in RDBMS through query rewriting 2006 • International Conference on Information and Knowledge Management, Proceedings • 4-13 Traina C, Traina AJM, Vieira MR, Arantes AS, Faloutsos C
Conference Evaluating the intrinsic dimension of evolving data streams 2006 • Proceedings of the ACM Symposium on Applied Computing • 643-648 de Sousa EPM, Traina AJM, Traina CJ, Faloutsos C
Conference Fast random walk with restart and its applications 2006 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 613-+ Tong H, Faloutsos C, Pan J-Y
Conference GMine: A System for Scalable, Interactive Graph Visualization and Mining 2006 • VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases • 1195-1198 Rodrigues JF, Tong H, Traina AJM, Faloutsos C, Leskovec J
Preprint Graph Evolution: Densification and Shrinking Diameters 2006 Leskovec J, Kleinberg J, Faloutsos C
Journal Article Graph mining: Laws, generators, and algorithms 2006 • ACM Computing Surveys • 38(1):A1-A69 Chakrabarti D, Faloutsos C
Conference Intelligent system monitoring on large clusters 2006 47-52 Sun J, Hoke E, Strunk JD, Ganger GR, Faloutsos C
Journal Article InteMon 2006 • Operating Systems Review • 40(3):38-44 Hoke E, Sun J, Strunk JD, Ganger GR, Faloutsos C
Conference InteMon: Intelligent System Monitoring on Large Clusters 2006 • VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases • 1239-1242 Hoke E, Sun J, Faloutsos C
Journal Article Measuring Evolving Data Streams’ Behavior through Their Intrinsic Dimension 2006 • New Generation Computing • 25(1):33-60 de Sousa EPM, Traina AJM, Traina C, Faloutsos C
Conference Robust information-theoretic clustering 2006 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 65-75 Böhm C, Faloutsos C, Pan J-Y, Plant C
Conference Sampling from large graphs 2006 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 631-636 Leskovec J, Faloutsos C
Journal Article Spatial query estimation without the local uniformity assumption 2006 • Geoinformatica • 10(3):261-293 Tao Y, Faloutsos C, Papadias D
Conference SuperGraph visualization 2006 • ISM 2006: EIGHTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, PROCEEDINGS • 227-234 Rodrigues JFJ, Traina AJM, Faloutsos C, Traina CJ
Conference A Comparative Study of Feature Vector-Based Topic Detection Schemes for Text Streams 2005 122-127 Hamamoto M, Kitagawa H, Pan J-Y, Faloutsos C
Conference A multiresolution symbolic representation of time series 2005 • Proceedings - International Conference on Data Engineering • 668-679 Megalooikonomou V, Wang Q, Li G, Faloutsos C
Conference AutoLag: Automatic Discovery of Lag Correlations in Stream Data 2005 • Proceedings - International Conference on Data Engineering • 159-160 Sakurai Y, Papadimitriou S, Faloutsos C
Conference BRAID 2005 • Proceedings / ACM-SIGMOD International Conference on Management of Data. ACM-Sigmod International Conference on Management of Data • 599-610 Sakurai Y, Papadimitriou S, Faloutsos C
Journal Article Editorial:: <i>TKDE</i> topic area revisions 2005 • IEEE Transactions on Knowledge and Data Engineering • 17(6):731-733 Wu XD, Faloutsos C
Journal Article Example-Based Outlier Detection for High Dimensional Datasets 2005 • IPSJ Digital Courier • 1:234 Zhu C, Kitagawa H, Faloutsos C
Conference Example-Based Robust Outlier Detection in High Dimensional Datasets 2005 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 1-4 Zhu C, Kitagawa H, Faloutsos C
