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BIOKDD06

Mohammed J. Zaki, George Karypis, Jiong Yang
2006 SIGKDD Explorations  
Volume 8, Issue 2 Page 78 SIGKDD Explorations  ...  The BIOKDD workshops have been held annually in conjunction with the ACM SIGKDD Conferences, since 2001.  ... 
doi:10.1145/1233321.1233331 fatcat:x5cnkfnc5zaxdddtvktiu6xube

Open source analytics

Robert L. Grossman
2009 SIGKDD Explorations  
Volume 11, Issue 1 SIGKDD Explorations Page 3 Trend 4 . 4 A particularly important type of analytic infrastructure are clouds.  ...  The term analytic infrastructure is York Times estimated that over 250,000 individuals use R regularly [4]. Another very popular open source system for data mining is the Weka system.  ... 
doi:10.1145/1656274.1656276 fatcat:6qm6ztxro5hnfbaqk2ts3r4jly

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019 Knowledge Discovery and Data Mining  
After a careful review process with each paper being reviewed by 3-4 experts, 7 papers were selected for publishing in the Proceedings of Machine Learning Research, Volume 104, 2019 and presented at CD  ...  Discovering causal relationships is the ultimate goal of many scientific explorations. However, it is not feasible to conduct randomized controlled trials in most cases.  ... 
dblp:conf/kdd/LeLZKCH19 fatcat:aaplcns34fd45edeusghuub3iu

DDDM2007

Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams
2007 SIGKDD Explorations  
This report presents a review of the ACM SIGKDD Workshop on Domain Driven Data Mining (DDDM2007), held in conjunction with the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and  ...  We need to address business interestingness [9, 12] and successfully deliver knowledge [4] and patterns that are operationalisable and dependable.  ...  Extended versions of selected papers from the workshop plus other invitations will soon appear in a volume of Springer's Lecture Notes in Computer Sciences Series.  ... 
doi:10.1145/1345448.1345467 fatcat:i3ripi4flbaldiakhcgusf3ohq

Introduction to the special issue on visual analytics and knowledge discovery

Kai Puolamäki, Alessio Bertone
2010 SIGKDD Explorations  
http://www.vismaster.eu/ 4 http://www.pascal-network.org/ Volume 11, Issue 2  ...  The efficient exploration and analysis of large and heterogeneous data masses requires a combination of automated KDD methods and visual interaction.  ... 
doi:10.1145/1809400.1809402 fatcat:7dxxykn7srer3ff4wjet4xn3oq

Page 145 of Computational Linguistics Vol. 31, Issue 1 [page]

2005 Computational Linguistics  
Foundations of Cognitive Grammar: Descriptive Applications, volume 2. Stanford University Press, Stanford. Li, Hang and Naoki Abe. 1998.  ...  Journal of Grammars, 4(1):41-65. Schiitze, Hinrich. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1):97-124.  ... 

Knowledge discovery from sensor data (SensorKDD)

Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga R. Vatsavai, Nitesh V. Chawla, Joao Gama, Mohamed M. Gaber
2011 SIGKDD Explorations  
With massive volumes of such disparate, dynamic, and geographically distributed data available, many high-priority applications have been identified that involve analysis of such data to solve real world  ...  All papers presented at the workshop are available in [4] .  ...  He previously worked as a data analyst with Mobil Exploration and Production Company for more than five years. Dr. Nitesh V. Chawla is an assistant professor at the University of Notre Dame. Dr.  ... 
doi:10.1145/1964897.1964911 fatcat:rsh6cat5pfg6rnmklbaf66mu2q

Unexpected results in automatic list extraction on the web

Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba
2011 SIGKDD Explorations  
SIGKDD Explorations Volume 12, Issue 2  ...  Figure 2 : 2 Web page from SIGKDD Explorations.  ...  Furthermore, we ask interested members of the community to explore these techniques in order to advance this line of research. ACKNOWLEDGMENTS Figure 1 : 1 Web page from SIGKDD Explorations.  ... 
doi:10.1145/1964897.1964904 fatcat:n3tgmz7zbrhyrlv6kc6mdsw37q

A conversation with Dr. Edward Y. Chang

Edward Y. Chang
2012 SIGKDD Explorations  
My team developed PSVM [2] , Parallel Frequent Itemset Mining [3] , PLSA [4] , Parallel Spectral Clustering [5] , PSVD, and PLDA [6, 7] .  ...  There is no doubt that KDD is thriving in China in several areas and its applications are rapidly growing, thanks to the increase of both data volume and demand for intelligent information analysis and  ... 
doi:10.1145/2207243.2207256 fatcat:b7skcm232jbw5ces4l2lluiyb4

Recommender problems for web applications

Bee-Chung Chen, Deepak Agarwal
2010 Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10  
Keep up with novel articles and remove fading ones -Typically, articles have short lifetimes (6-24 hours) Complete automation: Scalable, but may hurt user experience DATA Characteristics • Large volumes  ...  hundred million visits per day -Estimate per article CTR at 5-minute resolution • Two data sources -Serving bucket: shows current best until we find better one -Small Random bucket: Randomly selects 4  ...  More details on 2 items, 2 steps • Expected total number of clicks • Expected max: Normal approximation Gain(x, q 0 , q 1 ) Additional gain from exploration E[#clicks] if we always show the Reduced  ... 
doi:10.1145/1835804.1866294 fatcat:gaqrv57rv5a7vicvgr6eoojgrm

Facilitating Interactive Mining of Global and Local Association Rules

Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward
2014 Proceedings of the 7th Workshop on Ph.D Students - PIKM '14  
DeWitt, Using a knowledge cache for interactive discovery of association rules, SIGKDD'99. PARAS requires ~10% extra offline preprocess time compared with AdjLatticeRR. 11/03/2014 22  ...  T2: Which settings (out of choice of 4) returns a different set of rules?  ...  Volume Veracity Variety Velocity XmdvTool's Efforts Towards This Paradigm Shift 11/03/2014 3 Visualize Static Data I.  ... 
doi:10.1145/2663714.2668053 dblp:conf/cikm/MukherjiRW14 fatcat:u2i2ylfcsvcgpmdushxa56x5sm

Practical Application in Development and Use of Mining Tools with Total Environment for Text Data Mining
統合環境TETDMを用いたマイニングツールの開発と利用の実践

Wataru Sunayama, Yasufumi Takama, Yoko Nishihara, Tomoki Kajinami, Muneo Kushima, Hidekazu Tokunaga
2014 Transactions of the Japanese society for artificial intelligence  
Witten, The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1, (2009). [ 11] Vol.52, No.12, pp.3135-3149, (2011). [Highsmith 01] J. Highsmith and A.  ...  Fano: Text Mining for Product Attribute Extraction, ACM SIGKDD Ex-Plaisant 08] C. Plaisant, J. D. Fekete, and G.  ... 
doi:10.1527/tjsai.29.100 fatcat:flteyydqijcxdpyhmowl3m5xyi

Contribuição de Pesquisa entre Comunidades como um Indicador de Influência

Thiago H. P. Silva, Lais M. A. Rocha, Mirella M. Moro, Ana Paula Couto da Silva
2015 Brazilian Symposium on Databases  
Por exemplo, se a comunidade base de um pesquisador for SIGMOD e ele publicar no SIGKDD, então o seu valor do 3c-index (usando o h-index) é contabilizado como partindo do SIGMOD para o SIGKDD (i.e., nesse  ...  A Tabela 4 mostra as correlac ¸ões de Spearman entre índices tradicionais e seus correspondentes na versão proposta 3c-index.  ... 
dblp:conf/sbbd/SilvaRMS15 fatcat:66jqbhuqnzgq7gxy6j75zi7vmi

Knowledge discovery from sensor data (SensorKDD)

Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber
2010 SIGKDD Explorations  
In this report, we summarize the events of the Second ACM-SIGKDD International Workshop on Knowledge Discovery form Sensor Data (Sensor-KDD 2008).  ...  initiative to develop a community of researchers with common interests and scientific goals, which culminated into the organization of Sensor-KDD series of workshops in conjunction with the prestigious ACM SIGKDD  ...  2007 and ACM SIGKDD 2008.  ... 
doi:10.1145/1809400.1809417 fatcat:jrtrixjfzzgo3bdlelcyldihom

Knowledge discovery from sensor data (SensorKDD)

Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2008 SIGKDD Explorations  
In this report, we summarize the events of the Second ACM-SIGKDD International Workshop on Knowledge Discovery form Sensor Data (Sensor-KDD 2008).  ...  initiative to develop a community of researchers with common interests and scientific goals, which culminated into the organization of Sensor-KDD series of workshops in conjunction with the prestigious ACM SIGKDD  ...  2007 and ACM SIGKDD 2008.  ... 
doi:10.1145/1540276.1540297 fatcat:72jirtrxibbrpmpfcwrivmedjm
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