Srivatsan Laxman

According to our database1, Srivatsan Laxman authored at least 29 papers between 2005 and 2015.

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Bibliography

2015
Discovering and understanding word level user intent in Web search queries.
J. Web Semant., 2015

2013
Improved Multiple Sequence Alignments Using Coupled Pattern Mining.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

A general streaming algorithm for pattern discovery.
Knowl. Inf. Syst., 2013

Error Correction in Learning using SVMs
CoRR, 2013

Ad impression forecasting for sponsored search.
Proceedings of the 22nd International World Wide Web Conference, 2013

Verito: A Practical System for Transparency and Accountability in Virtual Economies.
Proceedings of the 20th Annual Network and Distributed System Security Symposium, 2013

2012
A unified view of the apriori-based algorithms for frequent episode discovery.
Knowl. Inf. Syst., 2012

Discovering injective episodes with general partial orders.
Data Min. Knowl. Discov., 2012

Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences
CoRR, 2012

An IR-based evaluation framework for web search query segmentation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Efficient Episode Mining of Dynamic Event Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Discovering excitatory relationships using dynamic Bayesian networks.
Knowl. Inf. Syst., 2011

Noiseless Database Privacy.
IACR Cryptol. ePrint Arch., 2011

A Learning Framework for Self-Tuning Histograms
CoRR, 2011

Unsupervised query segmentation using only query logs.
Proceedings of the 20th International Conference on World Wide Web, 2011

Lexical Co-occurrence, Statistical Significance, and Word Association.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

The State of Data Privacy.
Proceedings of the 17th International Conference on Management of Data, 2011

ZDVUE: prioritization of javascript attacks to discover new vulnerabilities.
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010
A unified view of Automata-based algorithms for Frequent Episode Discovery
CoRR, 2010

Discovering frequent patterns in sensitive data.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
CoRR, 2009

Inferring Dynamic Bayesian Networks using Frequent Episode Mining
CoRR, 2009

Discovering general partial orders in event streams
CoRR, 2009

Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis.
Proceedings of the ICDM 2009, 2009

2008
Stream prediction using a generative model based on frequent episodes in event sequences.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Discovering Frequent Generalized Episodes When Events Persist for Different Durations.
IEEE Trans. Knowl. Data Eng., 2007

A fast algorithm for finding frequent episodes in event streams.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Connections between Mining Frequent Itemsets and Learning Generative Models.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2005
Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection.
IEEE Trans. Knowl. Data Eng., 2005


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