Shivakumar Vaithyanathan

发表

Selectivity estimation for extraction operators over text data

Daisy Zhe Wang, Frederick Reiss, Long Wei, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases

Rajasekar Krishnamurthy, Abdul Quamar, Hao Wang, 2017, Proc. VLDB Endow..

Generalized Opinion Pooling

T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu, 2004, ISAIM.

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML

Shirish Tatikonda, Berthold Reinwald, Yuanyuan Tian, 2014, Proc. VLDB Endow..

Web Information Extraction

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2009, Encyclopedia of Database Systems.

Generalized Model Selection for Unsupervised Learning in High Dimensions

Shivakumar Vaithyanathan, Byron Dom, Shivakumar Vaithyanathan, 1999, NIPS.

Introduction to the Special Issue on Man aging Information Extraction

Luis Gravano, AnHai Doan, Shivakumar Vaithyanathan, 2008 .

Towards a Scalable Enterprise Content Analytics Platform

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2009, IEEE Data Eng. Bull..

OLAP over uncertain and imprecise data

T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan, 2007, The VLDB Journal.

Proceedings of the International Workshop on Data Science for Macro-Modeling

Rajasekar Krishnamurthy, Louiqa Raschid, Shivakumar Vaithyanathan, 2014, SIGMOD 2014.

Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study

Rajasekar Krishnamurthy, Ioana Stanoi, Georgia Koutrika, 2015, IEEE Data Eng. Bull..

Avatar Information Extraction System

Sriram Raghavan, Rajasekar Krishnamurthy, T. S. Jayram, 2006, IEEE Data Eng. Bull..

Building Industry-specific Knowledge Bases

Shivakumar Vaithyanathan, 2016, CIKM.

Understanding queries in a search database system

Sriram Raghavan, Ronald Fagin, Yunyao Li, 2010, PODS '10.

Getting work done on the web: supporting transactional queries

Rajasekar Krishnamurthy, H. V. Jagadish, Yunyao Li, 2006, SIGIR '06.

Clustering with Model-level Constraints

Shivakumar Vaithyanathan, Ashutosh Garg, David Gondek, 2005, SDM.

The SystemT IDE: an integrated development environment for information extraction rules

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2011, SIGMOD '11.

Asynchronous HMM with applications to speech recognition

Shivakumar Vaithyanathan, Ashutosh Garg, Sreeram Balakrishnan, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Model-Based Hierarchical Clustering

Shivakumar Vaithyanathan, Byron Dom, Shivakumar Vaithyanathan, 2000, UAI.

Rewrite rules for search database systems

Sriram Raghavan, Ronald Fagin, Yunyao Li, 2011, PODS.

Managing information extraction: state of the art and research directions

Raghu Ramakrishnan, AnHai Doan, Shivakumar Vaithyanathan, 2006, SIGMOD Conference.

Introduction: Data Mining on the Internet

Shivakumar Vaithyanathan, Shivakumar Vaithyanathan, 1999, Artificial Intelligence Review.

The Power of Declarative Languages: From Information Extraction to Machine Learning

Shivakumar Vaithyanathan, 2011, BTW.

Exploiting clustering and phrases for context-based information retrieval

Shivakumar Vaithyanathan, Peter G. Anick, Shivakumar Vaithyanathan, 1997, SIGIR '97.

OLAP over Imprecise Data with Domain Constraints

Raghu Ramakrishnan, AnHai Doan, Shivakumar Vaithyanathan, 2007, VLDB.

Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks

Frederick Reiss, Rajasekar Krishnamurthy, Yunyao Li, 2010, EMNLP.

Thumbs up? Sentiment Classification using Machine Learning Techniques

Bo Pang, Lillian Lee, Shivakumar Vaithyanathan, 2002, EMNLP.

Efficient allocation algorithms for OLAP over imprecise data

T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan, 2006, VLDB.

An exploration of sentiment summarization

Trevor Hastie, Christopher D. Manning, Shivakumar Vaithyanathan, 2003 .

SystemT: An Algebraic Approach to Declarative Information Extraction

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2010, ACL.

Avatar semantic search: a database approach to information retrieval

Eser Kandogan, Sriram Raghavan, Rajasekar Krishnamurthy, 2006, SIGMOD Conference.

The value of social media data in enterprise applications

Shivakumar Vaithyanathan, 2012, SIGMOD Conference.

Hierarchical Unsupervised Learning

Shivakumar Vaithyanathan, Byron Dom, Shivakumar Vaithyanathan, 2000, International Conference on Machine Learning.

SystemML: Declarative machine learning on MapReduce

Shirish Tatikonda, Rajasekar Krishnamurthy, Berthold Reinwald, 2011, 2011 IEEE 27th International Conference on Data Engineering.

The Sentimental Factor: Improving Review Classification Via Human-Provided Information

Trevor J. Hastie, Shivakumar Vaithyanathan, Philip Beineke, 2004, ACL.

Uncertainty management in rule-based information extraction systems

Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan, 2009, SIGMOD Conference.

W3C XML Schema

Andrei Broder, Iadh Ounis, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Navigating the intranet with high precision

Sriram Raghavan, Alexander Löser, Shivakumar Vaithyanathan, 2007, WWW '07.

Wide-Area Data Replication

Andrei Broder, Iadh Ounis, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling

Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu, 2015, ACL.

Web Information Extraction

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2009, Encyclopedia of Database Systems.

Topic Learning from Few Examples

Mahesh V. Joshi, Shivakumar Vaithyanathan, Huaiyu Zhu, 2003, PKDD.

Massively parallel analog tabu search using neural networks applied to simple plant location problems

Shivakumar Vaithyanathan, Laura I. Burke, Michael A. Magent, 1996 .

An Algebraic Approach to Rule-Based Information Extraction

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Model Selection in Unsupervised Learning with Applications To Document Clustering

Shivakumar Vaithyanathan, Byron Dom, Shivakumar Vaithyanathan, 1999, International Conference on Machine Learning.

SystemT: a system for declarative information extraction

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, 2009, SGMD.

Regular Expression Learning for Information Extraction

Sriram Raghavan, Rajasekar Krishnamurthy, H. V. Jagadish, 2008, EMNLP.

A Comparison of Classifiers for Real-Time Eye Detection

Myron Flickner, Jianchang Mao, Shivakumar Vaithyanathan, 2001, ICANN.

Hierarchical Bayes for Text Classification

Jianchang Mao, Shivakumar Vaithyanathan, Byron Dom, 2000, PRICAI Workshop on Text and Web Mining.

Midas: integrating public financial data

Rajasekar Krishnamurthy, Lei Shi, Ioana Stanoi, 2010, SIGMOD Conference.

A stochastic neural network for resource constrained scheduling

James P. Ignizio, Shivakumar Vaithyanathan, 1992, Comput. Oper. Res..

Session details: Special section on managing information extraction

Luis Gravano, Raghu Ramakrishnan, AnHai Doan, 2009, SGMD.

Unleashing the Power of Public Data for Financial Risk Measurement, Regulation, and Governance

Rajasekar Krishnamurthy, Ioana Stanoi, Georgia Koutrika, 2010 .

Using Structured Queries for Keyword Information Retrieval

Sriram Raghavan, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, 2007 .