KDD References Analysis Report
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A KDD References Analysis Report is a references analysis report for one or more KDD Proceedings.
- Example(s):
- a KDD-2011 References Analysis Report.
- a KDD-2010 References Analysis Report.
- a KDD-2009 References Analysis Report.
- a KDD-2008 References Analysis Report.
- a KDD-2007 References Analysis Report.
- a KDD-2006 References Analysis Report.
- a KDD-2005 References Analysis Report.
- a KDD-2004 References Analysis Report.
- …
- Counter-Example(s):
- a KDD-2009 Citations Analysis Report.
- a KDD-2009 Abstracts Analysis Report (still to come).
- See: ACM Digital Library, Bibliometric Analysis, KDD Proceedings Fact.
References
2011-08-31 KDD References Analysis Report (2008 to 2011)
(note: this data was extracted semi-automatically, so some inaccuracies are likely).
| Row Id | Reference Rank | Referenced Publication (short str. + GM-RKB hlink) | 2008 Refs. Count | 2009 Refs. Count | 2010 Refs. Count | 2011 Refs. Count | Total Refs. Count | Referenced Publication (long string) |
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | (Blei, Ng & Jordan, 2003)[1] | 14 | 8 | 12 | 17 | 51 | David M. Blei, Andrew Y. Ng, and Michael I. Jordan. (2003). “Latent Dirichlet Allocation.” In: The Journal of Machine Learning Research, 3. doi:10.1162/jmlr.2003.3.4-5.993 |
| 2 | 2 | (Chang & Lin, 2001) | 8 | 2 | 9 | 14 | 33 | Chih-Chung Chang, and Chih-Jen Lin. (2001). “LIBSVM: a library for support vector machines." Technical Report. |
| 3 | 3 | (Asuncion & Newman, 2007) | 2 | 7 | 13 | 4 | 26 | Arthur Asuncion and David J. Newman 2007 UCI Machine Learning Repository {http://www.ics.uci.edu/~mlearn/MLRepository.html}. Irvine, CA: University of California, School of Information and Computer Science. |
| 4 | 4 | (Hastie et al., 2001)[2] | 4 | 5 | 4 | 10 | 23 | Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. (2001). “The Elements of Statistical Learning: Data Mining, Inference, and Prediction." Springer-Verlag. ISBN:0387952845 |
| 5 | 5 | (Kleinberg, 1999) | 2 | 9 | 4 | 7 | 22 | Jon Kleinberg. (1999). “Authoritative Sources in a Hyperlinked Environment.” In: Journal of the ACM (JACM), 46(5) doi:10.1145/324133.324140 |
| 6 | 6 | (Griffiths & Steyvers, 2004) | 4 | 3 | 6 | 8 | 21 | Thomas L. Griffiths, and Mark Steyvers. (2004). “Finding Scientific Topics.” In: Proceedings of the National Academy of Sciences (PNAS), 101(Suppl. 1). doi:10.1073/pnas.0307752101 |
| 7 | 7 | (Kempe et al., 2003) | 5 | 4 | 7 | 4 | 20 | David Kempe, Jon Kleinberg, and Éva Tardos, (2003). “Maximizing the Spread of Influence Through a Social Network.” In: Proceedings of SIGKDD Conference (KDD-2003). doi:10.1145/956750.956769 |
| 8 | 7 | (Witten & Frank, 2005)[3] | 9 | 6 | 3 | 2 | 20 | Ian H. Witten, and Eibe Frank. (2005). “Data Mining: Practical machine learning tools and techniques, Second Edition." Morgan Kaufmann. ISBN:0120884070. |
| 9 | 8 | (Agrawal & Srikant, 1994) | 6 | 6 | 2 | 5 | 19 | Rakesh Agrawal, and Ramakrishnan Srikant. (1994). “Fast Algorithms for Mining Association Rules in Large Databases.” In: Proceedings of the 20th International Conference on Very Large Data Bases (VLDB 1994). |
| 10 | 8 | (Dempster et al., 1977) | 4 | 6 | 4 | 5 | 19 | Arthur P. Dempster, Nan Laird, and Donald Rubin. (1977). “Maximum Likelihood from Incomplete Data via the EM Algorithm.” In: Journal of the Royal Statistical Society, Series B, 39(1). |
| 11 | 8 | (Quinlan, 1993a) | 5 | 3 | 4 | 7 | 19 | J. Ross Quinlan. (1993). “C4.5: Programs for machine learning." Morgan Kaufmann. ISBN:1558602380 |
| 12 | 9 | (Brin & Page, 1998) | 2 | 8 | 3 | 5 | 18 | Sergey Brin, and Larry Page. (1998). “The Anatomy of a Large-Scale Hypertextual Web Search Engine.” In: Proceedings of the Seventh International World Wide Web Conference (WWW 1998). doi:10.1016/S0169-7552(98)00110-X |
| 13 | 9 | (Hofmann, 1999a) | 5 | 6 | 2 | 5 | 18 | Thomas Hofmann. (1999). “Probabilistic Latent Semantic Indexing.” In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1999) doi:10.1145/312624.312649 |
| 14 | 9 | (Page et al., 1998) | 3 | 5 | 4 | 6 | 18 | Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. (1998). “The PageRank Citation Ranking: Bringing order to the web." Technical Report, Stanford University. |
| 15 | 10 | (Bishop, 2006) | 3 | 6 | 4 | 4 | 17 | Christopher M. Bishop. (2006). “Pattern Recognition and Machine Learning." Springer. ISBN:0387310738 |
| 16 | 10 | (Wasserman & Faust, 1994) | 3 | 9 | 1 | 4 | 17 | Stanley Wasserman, and Katherine Faust. (1994) "Social Network Analysis: Methods and Applications." Cambridge University Press. ISBN:0521387078 |
| 17 | 11 | (Backstrom et al., 2006) | 7 | 6 | 3 | 0 | 16 | 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 |
| 18 | 11 | (Boyd & Vandenberghe, 2004) | 4 | 6 | 4 | 2 | 16 | Stephen Boyd, Lieven Vandenberghe, Convex Optimization, Cambridge University Press, New York, NY, 2004 |
| 19 | 11 | (Golub & Van Loan, 1996) | 9 | 3 | 1 | 3 | 16 | Gene H. Golub, Charles F. Van Loan, Matrix Computations (3rd Ed.). Johns Hopkins University Press, Baltimore, MD, 1996 |
| 20 | 11 | (Joachims, 2002c) | 5 | 7 | 3 | 1 | 16 | 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 |
| 21 | 12 | (Agrawal & Srikant, 1995) | 6 | 2 | 2 | 5 | 15 | Rakesh Agrawal and Ramakrishnan Srikant. Mining Sequential Patterns. In: Proceedings of the 11th International Conference on Data Engineering (ICDE 95), Pages 3--14, Taipei, Taiwan, 1995. |
| 22 | 12 | (Breiman, 2001) | 3 | 1 | 4 | 7 | 15 | Leo Breiman, Random Forests, Machine Learning, v.45 n.1, p.5-32, October 1 2001 doi:10.1023/A:1010933404324 |
| 23 | 12 | (Dean & Ghemawat, 2004) | 3 | 6 | 1 | 5 | 15 | 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 |
| 24 | 12 | (Leskovec et al., 2005) | 5 | 5 | 2 | 3 | 15 | 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 |
| 25 | 12 | (Lewis et al., 2004) | 6 | 2 | 3 | 4 | 15 | David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li, RCV1: A New Benchmark Collection for Text Categorization Research. In: The Journal of Machine Learning Research, 5, p.361-397, 12/1/2004 |
| 26 | 12 | (Liben-Nowell & Kleinberg, 2003) | 3 | 2 | 6 | 4 | 15 | David Liben-Nowell, Jon M. Kleinberg, The Link Prediction Problem for Social Networks. In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, November 03-08, 2003, New Orleans, LA, USA doi:10.1145/956863.956972 |
| 27 | 12 | (Tibshirani, 1996) | 0 | 5 | 4 | 6 | 15 | Robert Tibshirani. Regression Shrinkage and Selection via the Lasso. In: Journal of the Royal Statistical Society Ser. B Stat. Methodol., 58 (1): 267--288, 1996. Http://www.jstor.org/stable/2346178. |
| 28 | 13 | (Joachims, 2006) | 6 | 0 | 3 | 5 | 14 | Thorsten Joachims, Training linear SVMs in linear time. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2006, Philadelphia, PA, USA doi:10.1145/1150402.1150429 |
| 29 | 13 | (Newman, 2003) | 4 | 6 | 3 | 1 | 14 | M. E. J. Newman. The Structure and Function of Complex Networks. In: SIAM Review, 45:167--256, Mar. 2003. |
| 30 | 13 | (Zhu et al., 2003) | 3 | 6 | 3 | 2 | 14 | 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. |
| 31 | 13 | (Zhu, 2005) | 4 | 5 | 1 | 4 | 14 | Xiaojin Zhu. Semi-supervised Learning Literature Survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison, 2005. |
| 32 | 14 | (Agrawal et al., 1993) | 4 | 4 | 3 | 2 | 13 | 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 |
| 33 | 14 | (Baeza-Yates & Ribeiro-Neto, 1999) | 5 | 3 | 3 | 2 | 13 | Ricardo A. Baeza-Yates, Berthier Ribeiro-Neto, Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1999 |
| 34 | 14 | (Duda et al., 2000) | 3 | 4 | 3 | 3 | 13 | Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification (2nd Edition). Wiley-Interscience, 2000 |
| 35 | 14 | (Lafferty et al., 2001) | 3 | 5 | 4 | 1 | 13 | 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 |
| 36 | 14 | (Watts & Strogatz, 1998) | 5 | 4 | 1 | 3 | 13 | Duncan J. Watts and Steven H. Strogatz. Collective Dynamics of 'small-world' Networks. In: Nature, 393(6684):440--442, June 1998. |
| 37 | 15 | (Barabasi & Albert, 1999) | 3 | 4 | 3 | 2 | 12 | Albert-László Barabási and Réka Albert. Emergence of Scaling in Random Networks. In: Science, 286(5439):509--512, October 1999. |
| 38 | 15 | (Blei & Lafferty, 2006) | 2 | 1 | 4 | 5 | 12 | David M. Blei, John D. Lafferty, Dynamic Topic Models. In: Proceedings of the 23rd International Conference on Machine Learning, p.113-120, June 25-29, 2006, Pittsburgh, Pennsylvania doi:10.1145/1143844.1143859 |
| 39 | 15 | (Breiman et al., 1984) | 3 | 3 | 2 | 4 | 12 | Leo Breiman, Jerome H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Wadsworth & Brooks/Cole, 1984, ISBN: 0-534-98054-6. |
| 40 | 15 | (Faloutsos et al., 1999) | 5 | 3 | 2 | 2 | 12 | Michalis Faloutsos, Petros Faloutsos, Christos Faloutsos, On Power-law Relationships of the Internet Topology. In: Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, p.251-262, August 30-September 03, 1999, Cambridge, Massachusetts, United States doi:10.1145/316188.316229 |
| 41 | 15 | (Gruhl et al., 2004) | 3 | 3 | 5 | 1 | 12 | Daniel Gruhl, R. Guha, David Liben-Nowell, Andrew Tomkins, Information Diffusion through Blogspace. In: Proceedings of the 13th International Conference on World Wide Web, May 17-20, 2004, New York, NY, USA doi:10.1145/988672.988739 |
| 42 | 15 | (Joachims, 1998) | 6 | 2 | 3 | 1 | 12 | Thorsten Joachims, Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: Proceedings of the 10th European Conference on Machine Learning, p.137-142, April 21-23, 1998 |
| 43 | 15 | (Leskovec, Adamic & Huberman, 2007) | 3 | 2 | 3 | 4 | 12 | Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman, The Dynamics of Viral Marketing. In: Proceedings of the 7th ACM Conference on Electronic Commerce, p.228-237, June 11-15, 2006, Ann Arbor, Michigan, USA doi:10.1145/1134707.1134732 |
| 44 | 15 | (Shi & Malik, 2000) | 1 | 5 | 4 | 2 | 12 | 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 |
| 45 | 15 | (Sweeney, 2002) | 2 | 3 | 2 | 5 | 12 | Latanya Sweeney, k-anonymity: a model for protecting privacy. In: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, v.10 n.5, p.557-570, October 2002 doi:10.1142/S0218488502001648 |
| 46 | 15 | (Zhou et al., 2004) | 1 | 4 | 3 | 4 | 12 | Dengyong Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. In: Advances in Neural Information Processing Systems, volume 14, pages 321--328, 2003. |
| 47 | 16 | (Breiman, 1996) | 2 | 1 | 4 | 4 | 11 | Leo Breiman, Bagging predictors, Machine Learning, v.24 n.2, p.123-140, Aug. 1996 doi:10.1023/A:1018054314350 |
| 48 | 16 | (Cover & Thomas, 2006) | 2 | 3 | 3 | 3 | 11 | Thomas M. Cover, Joy A. Thomas, Elements of Information Theory. (Wiley Series in Telecommunications and Signal Processing). Wiley-Interscience, 2006 |
| 49 | 16 | (Das et al., 2007) | 1 | 4 | 1 | 5 | 11 | 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 |
| 50 | 16 | (Han et al., 2000) | 2 | 5 | 3 | 1 | 11 | Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao, Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. In: Data Mining and Knowledge Discovery, v.8 n.1, p.53-87, January 2004 doi:10.1023/B:DAMI.0000005258.31418.83 |
| 51 | 16 | (Leskovec et al., 2009) | 0 | 0 | 6 | 5 | 11 | Jure Leskovec, Lars Backstrom, Jon M. Kleinberg, Meme-tracking and the dynamics of the news cycle. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, June 28-July 01, 2009, Paris, France doi:10.1145/1557019.1557077 |
| 52 | 16 | (Leskovec, Krause et al., 2007) | 0 | 2 | 4 | 5 | 11 | Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance, Cost-effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12-15, 2007, San Jose, California, USA doi:10.1145/1281192.1281239 |
| 53 | 16 | (Richardson et al., 2007) | 0 | 4 | 4 | 3 | 11 | 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 |
| 54 | 16 | (Schölkopf & Smola, 2002) | 4 | 1 | 2 | 4 | 11 | Bernhard Schölkopf and Alexander J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA, 2001. ISBN 0262194759. |
| 55 | 16 | (Shalev-Shwartz et al., 2007) | 3 | 1 | 2 | 5 | 11 | Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: Proceedings of the 24th International Conference on Machine learning, p.807-814, June 20-24, 2007, Corvalis, Oregon doi:10.1145/1273496.1273598 |
| 56 | 16 | (Teh et al., 2006) | 4 | 0 | 3 | 4 | 11 | Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, and David M. Blei. Hierarchical Dirichlet Processes. In: Journal of the American Statistical Association, 101(476):1566--1581, 2006. |
| Summary | Total Reference Items (per proceeding) |
~2,915 | ~3,280 | ~3,010 | ~4,256 | N/A | ||
| Summary | Min Reference Items (per cited paper) |
~1 | ~1 | ~1 | ~1 | N/A | ||
| Summary | Average Reference Items (per cited paper) |
TBD | TBD | TBD | TBD | N/A | ||
| Summary | Median Reference Items (per cited paper) |
TBD | TBD | TBD | TBD | N/A | ||
| Summary | Max Reference (per cited paper) |
~14 | ~9 | ~13 | ~17 | N/A |