Data Mining_ Concepts and Techniques - Jiawei Han [398]
[LHC97] Liu, B.; Hsu, W.; Chen, S., Using general impressions to analyze discovered classification rules, In: Proc. 1997 Int. Conf. Knowledge Discovery and Data Mining (KDD’97) Newport Beach, CA. (Aug. 1997), pp. 31–36.
[LHF98] Lu, H.; Han, J.; Feng, L., Stock movement and n-dimensional inter-transaction association rules, In: Proc. 1998 SIGMOD Workshop Research Issues on Data Mining and Knowledge Discovery (DMKD’98) Seattle, WA. (June 1998), pp. 12:1–12:7.
[LHG04] Li, X.; Han, J.; Gonzalez, H., High-dimensional OLAP: A minimal cubing approach, In: Proc. 2004 Int. Conf. Very Large Data Bases (VLDB’04) Toronto, Ontario, Canada. (Aug. 2004), pp. 528–539.
[LHKG07] Li, X.; Han, J.; Kim, S.; Gonzalez, H., Roam: Rule- and motif-based anomaly detection in massive moving object data sets, In: Proc. 2007 SIAM Int. Conf. Data Mining (SDM’07) Minneapolis, MN. (Apr. 2007).
[LHM98] Liu, B.; Hsu, W.; Ma, Y., Integrating classification and association rule mining, In: Proc. 1998 Int. Conf. Knowledge Discovery and Data Mining (KDD’98) New York. (Aug. 1998), pp. 80–86.
[LHP01] Li, W.; Han, J.; Pei, J., CMAR: Accurate and efficient classification based on multiple class-association rules, In: Proc. 2001 Int. Conf. Data Mining (ICDM’01) San Jose, CA. (Nov. 2001), pp. 369–376.
[LHTD02] Liu, H.; Hussain, F.; Tan, C.L.; Dash, M., Discretization: An enabling technique, Data Mining and Knowledge Discovery 6 (2002) 393–423.
[LHW07] Lee, J.-G.; Han, J.; Whang, K., Clustering trajectory data, In: Proc. 2007 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD’07) Beijing, China. (June 2007).
[LHXS06] Liu, H.; Han, J.; Xin, D.; Shao, Z., Mining frequent patterns on very high dimensional data: A top-down row enumeration approach, In: Proc. 2006 SIAM Int. Conf. Data Mining (SDM’06) Bethesda, MD. (Apr. 2006).
[LHY+08] Li, X.; Han, J.; Yin, Z.; Lee, J.-G.; Sun, Y., Sampling Cube: A framework for statistical OLAP over sampling data, In: Proc. 2008 ACM SIGMOD Int. Conf. Management of Data (SIGMOD’08) Vancouver, British Columbia, Canada. (June 2008), pp. 779–790.
[Liu06] Liu, B., Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. (2006) Springer, New York .
[LJK00] Laurikkala, J.; Juhola, M.; Kentala, E., Informal identification of outliers in medical data, In: Proc. 5th Int. Workshop on Intelligent Data Analysis in Medicine and Pharmacology Berlin, Germany. (Aug. 2000).
[LKCH03] Lee, Y.-K.; Kim, W.-Y.; Cai, Y.D.; Han, J., CoMine: Efficient mining of correlated patterns, In: Proc. 2003 Int. Conf. Data Mining (ICDM’03) Melbourne, FL. (Nov. 2003), pp. 581–584.
[LKF05] Leskovec, J.; Kleinberg, J.; Faloutsos, C., Graphs over time: Densification laws, shrinking diameters and possible explanations, In: Proc. 2005 ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD’05) Chicago, IL. (Aug. 2005), pp. 177–187.
[LLLY03] Liu, G.; Lu, H.; Lou, W.; Yu, J.X., On computing, storing and querying frequent patterns, In: Proc. 2003 ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD’03) Washington, DC. (Aug. 2003), pp. 607–612.
[LLMZ04] Li, Z.; Lu, S.; Myagmar, S.; Zhou, Y., CP-Miner: A tool for finding copy-paste and related bugs in operating system code, In: Proc. 2004 Symp. Operating Systems Design and Implementation (OSDI’04) San Francisco, CA. (Dec. 2004), pp. 20–22.
[Llo57] Lloyd, S.P., Least squares quantization in PCM, IEEE Trans. Information Theory 28 (1982) 128–137; (original version: Technical Report, Bell Labs, 1957).
[LLS00] Lim, T.-S.; Loh, W.-Y.; Shih, Y.-S., A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms, Machine Learning 40 (2000) 203–228.
[LM97] Laskey, K.; Mahoney, S., Network fragments: Representing knowledge for constructing probabilistic models, In: Proc. 13th Annual Conf. Uncertainty in Artificial Intelligence San Francisco, CA. (Aug. 1997), pp. 334–341.
[LM98a] Liu, H.; Motoda, H., Feature Selection