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BIOKDD06
2006
SIGKDD Explorations
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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
2009
SIGKDD Explorations
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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
2019
Knowledge Discovery and Data Mining
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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
2007
SIGKDD Explorations
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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
2010
SIGKDD Explorations
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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
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
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)
2011
SIGKDD Explorations
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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
2011
SIGKDD Explorations
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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
2012
SIGKDD Explorations
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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
2010
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10
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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
2014
Proceedings of the 7th Workshop on Ph.D Students - PIKM '14
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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
2014
Transactions of the Japanese society for artificial intelligence
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
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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
2015
Brazilian Symposium on Databases
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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)
2010
SIGKDD Explorations
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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)
2008
SIGKDD Explorations
Preserved Fulltext
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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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