KDD 2009 References Analysis Report

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A KDD-2009 References Analysis Report is a KDD references analysis report for the KDD 2009 Proceedings.



References

2011-08-31 KDD 2009 References Analysis Report

(note: this data was extracted semi-automatically so there are likely some inaccuracies).

Sortable table
Row Identifier References Count Rank References Count Referenced Publication (short + hyperlink) Referenced Publication (full citation string)
1 1 9 (Kleinberg, 1999) Jon M. Kleinberg, Authoritative Sources in a Hyperlinked Environment. In: Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, p.668-677, January 25-27, 1998, San Francisco, California, United States
2 1 9 (Wasserman & Faust, 1994) Stanley Wasserman and Katherine Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge, 1994.
3 2 8 (Blei, Ng & Jordan, 2003)[1] David M. Blei, Andrew Y. Ng, Michael I. Jordan, Latent Dirichlet Allocation. In: The Journal of Machine Learning Research, 3, p.993-1022, 3/1/2003 doi:10.1162/jmlr.2003.3.4-5.993
4 2 8 (Brin & Page, 1998) Sergey Brin, Lawrence Page, The Anatomy of a Large-scale Hypertextual Web Search Engine. In: Computer Networks and ISDN Systems, v.30 n.1-7, p.107-117, April 1, 1998 doi:10.1016/S0169-7552(98)00110-X
5 3 7 (Asuncion & Newman, 2007) Asuncion, A &1Newman, D.J. (2007). UCI Machine Learning Repository {http://www.ics.uci.edu/~mlearn/MLRepository.html}. Irvine, CA: University of California, School of Information and Computer Science.
6 3 7 (Joachims, 2002c) Thorsten Joachims, Optimizing Search Engines Using Clickthrough Data. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada doi:10.1145/775047.775067
7 4 6 (Agrawal & Srikant, 1994) Rakesh Agrawal, Ramakrishnan Srikant, Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, p.487-499, September 12-15, 1994
8 4 6 (Backstrom et al., 2006) Lars Backstrom, Dan Huttenlocher, Jon M. Kleinberg, Xiangyang Lan, Group Formation in Large Social Networks: Membership, Growth, and Evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2006, Philadelphia, PA, USA doi:10.1145/1150402.1150412
9 4 6 (Bishop, 2006) Christopher M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, 2006
10 4 6 (Boyd & Vandenberghe, 2004) Stephen Boyd, Lieven Vandenberghe, Convex Optimization, Cambridge University Press, New York, NY, 2004
11 4 6 (Dean & Ghemawat, 2004) Jeffrey Dean, Sanjay Ghemawat, MapReduce: Simplified Data Processing on Large Clusters. In: Proceedings of the 6th Conference on Symposium on Opearting Systems Design & Implementation, p.10-10, December 06-08, 2004, San Francisco, CA
12 4 6 (Dempster et al., 1977) Arthur P. Dempster, Nan Laird, Donald Rubin, Et Al. Maximum Likelihood from Incomplete Data via the EM Algorithm. In: Journal of the Royal Statistical Society, 39(1):1--38, 1977.
13 4 6 (Hofmann, 1999) Thomas Hofmann, Probabilistic Latent Semantic Indexing. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, p.50-57, August 15-19, 1999, Berkeley, California, United States doi:10.1145/312624.312649
14 4 6 (Joachims et al., 2005) Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Geri Gay, Accurately Interpreting Clickthrough Data As Implicit Feedback. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 2005, Salvador, Brazil doi:10.1145/1076034.1076063
15 4 6 (Newman, 2003) M. E. J. Newman. The Structure and Function of Complex Networks. In: SIAM Review, 45:167--256, 2003.
16 4 6 (Witten & Frank, 2005) Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. In: (Morgan Kaufmann Series in Data Management Systems), Morgan Kaufmann Publishers Inc., San Francisco, CA, 2005
17 4 6 (Zhu et al., 2003) Xiaojin Zhu, John D. Lafferty, and Zoubin Ghahramani. Combining Active Learning and Semi-supervised Learning Using Gaussian Fields and Harmonic Functions. In: Proceedings of ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.
18 5 5 (Bell et al., 2007) Robert Bell, Yehuda Koren, Chris Volinsky, Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12-15, 2007, San Jose, California, USA doi:10.1145/1281192.1281206
19 5 5 (Han et al., 2000) Jiawei Han, Jian Pei, Yiwen Yin, Mining Frequent Patterns Without Candidate Generation. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, p.1-12, May 15-18, 2000, Dallas, Texas, United States doi:10.1145/342009.335372
20 5 5 (Hastie et al., 2001)[2] Trevor Hastie, Robert Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Publishing Company, New York, NY, 2001.
21 5 5 (Jones et al., 2006) Rosie Jones, Benjamin Rey, Omid Madani, Wiley Greiner, Generating Query Substitutions. In: Proceedings of the 15th International Conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland doi:10.1145/1135777.1135835
22 5 5 (Lafferty et al., 2001) John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proceedings of the Eighteenth International Conference on Machine Learning, p.282-289, June 28-July 01, 2001
23 5 5 (Leskovec et al., 2005) Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos, Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, August 21-24, 2005, Chicago, Illinois, USA doi:10.1145/1081870.1081893
24 5 5 (Page et al., 1998) Lawrence Page, Sergey Brin, Rajeev Motwani, and T. Winograd. The PageRank citation ranking: Bringing order to the web. In: Technical report, Stanford Digital Library Technologies Project, Stanford University, Stanford, CA, USA, 1998.
25 5 5 (Shi & Malik, 2000) Jianbo Shi, Jitendra Malik, Normalized Cuts and Image Segmentation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.8, p.888-905, August 2000 doi:10.1109/34.868688
26 5 5 (Tibshirani, 1996) Robert Tibshirani. Regression Shrinkage and Selection via the Lasso. In: Journal of the Royal Statistical Society: Series B, 58(1):267--288, 1996.
27 5 5 (Zhu, 2005) Xiaojin Zhu. Semi-supervised Learning Literature Survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison, 2005.
28 6 4 (Adamic & Glance, 2005) Lada A. Adamic, Natalie Glance, The Political Blogosphere and the 2004 U.S. Election: Divided They Blog. In: Proceedings of the 3rd International Workshop on Link Discovery, p.36-43, August 21-25, 2005, Chicago, Illinois doi:10.1145/1134271.1134277
29 6 4 (Agichtein et al., 2006) Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno, Learning User Interaction Models for Predicting Web Search Result Preferences. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 06-11, 2006, Seattle, Washington, USA doi:10.1145/1148170.1148175
30 6 4 (Agrawal et al., 1993) Rakesh Agrawal, Tomasz Imielinski, Arun Swami, Mining Association Rules Between Sets of Items in Large Databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, p.207-216, May 25-28, 1993, Washington, D.C., United States doi:10.1145/170035.170072
31 6 4 (Barabasi & Albert, 1999) Albert-László Barabási and Réka Albert. Emergence of Scaling in Random Networks. In: Science, 286(5439):509--512, October 1999.
32 6 4 (Cao et al., 2008) Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li, Context-aware Query Suggestion by Mining Click-through and Session Data. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401995
33 6 4 (Chakrabarti & Faloutsos, 2006) Deepayan Chakrabarti, Christos Faloutsos, Graph Mining: Laws, Generators, and Algorithms. In: ACM Computing Surveyss (CSUR), v.38 n.1, p.2-es, 2006 doi:http://dx.doi.org/10.1145/1132952.1132954
34 6 4 (Crandall et al., 2008) David Crandall, Dan Cosley, Daniel Huttenlocher, Jon M. Kleinberg, Siddharth Suri, Feedback Effects Between Similarity and Social Influence in Online Communities. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401914
35 6 4 (Das et al., 2007) Abhinandan S. Das, Mayur Datar, Ashutosh Garg, Shyam Rajaram, Google News Personalization: Scalable Online Collaborative Filtering. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada doi:10.1145/1242572.1242610
36 6 4 (Dhillon et al., 2003) Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha, Information-theoretic Co-clustering. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, D.C. doi:10.1145/956750.956764
37 6 4 (Domingos & Hulten, 2000) Pedro Domingos, Geoff Hulten, Mining High-speed Data Streams. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p.71-80, August 20-23, 2000, Boston, Massachusetts, United States doi:10.1145/347090.347107
38 6 4 (Duda et al., 2000) Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification (2nd Edition). Wiley-Interscience, 2000
39 6 4 (Joachims et al., 2007) Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay, Evaluating the Accuracy of Implicit Feedback from Clicks and Query Reformulations in Web Search. In: ACM Transactions on Information Systems (TOIS), v.25 n.2, p.7-es, April 2007 doi:10.1145/1229179.1229181
40 6 4 (Kempe et al., 2003) David Kempe, Jon M. Kleinberg, Éva Tardos, Maximizing the Spread of Influence through a Social Network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, D.C. doi:10.1145/956750.956769
41 6 4 (Koren, 2008) Yehuda Koren, Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401944
42 6 4 (Leskovec, Backstrom et al., 2008) Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins, Microscopic Evolution of Social Networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401948
43 6 4 (Leskovec, Lang et al., 2008) Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney, Statistical Properties of Community Structure in Large Social and Information Networks. In: Proceedings of the 17th International Conference on World Wide Web, April 21-25, 2008, Beijing, China doi:10.1145/1367497.1367591
44 6 4 (Liu & Nocedal, 1989) Dong C. Liu, Jorge Nocedal, On the Limited Memory BFGS Method for Large Scale Optimization. In: Mathematical Programming: Series A and B, v.45 n.3, p.503-528, Dec. 1989 doi:10.1007/BF01589116
45 6 4 (McCallum et al., 2000) Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore, Automating the Construction of Internet Portals with Machine Learning, Information Retrieval, v.3 n.2, p.127-163, July 2000 doi:10.1023/A:1009953814988
46 6 4 (Mei et al., 2008) Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai, Topic Modeling with Network Regularization. In: Proceedings of the 17th International Conference on World Wide Web, April 21-25, 2008, Beijing, China doi:10.1145/1367497.1367512
47 6 4 (Newman, 2006) M. E. J. Newman. Modularity and Community Structure in Networks. In: Proceedings of the National Academy of Sciences, 103(23), 2006.
48 6 4 (Richardson et al., 2007) Matthew Richardson, Ewa Dominowska, Robert Ragno, Predicting Clicks: Estimating the Click-through Rate for New Ads. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada doi:10.1145/1242572.1242643
49 6 4 (Sheng et al., 2008) Victor S. Sheng, Foster Provost, Panagiotis G. Ipeirotis, Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401965
50 6 4 (Sun et al., 2007) Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu, GraphScope: Parameter-free Mining of Large Time-evolving Graphs. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12-15, 2007, San Jose, California, USA doi:10.1145/1281192.1281266
51 6 4 (Watts & Strogatz, 1998) Duncan J. Watts and Steven H. Strogatz. Collective Dynamics of 'small-world' Networks. In: Nature, 393(6684):440--442, June 1998.
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3,280 Total Reference Items
(entire proceedings)
  1. journal + conference paper
  2. includes first and second edition