Actionable Mining of Multi-relational Data using Localized Predictive Models Joydeep Ghosh Schlumberger Centennial Chaired Professor The University of Texas at Austin

Source URL: mmds-data.org

• Opinion polling for the Czech legislative election
• Czech regional elections

Facet Discovery for Structured Web Search: A Query-log Mining Approach ∗ Jeffrey Pound

Source URL: www.cs.uoi.gr

• Attributevalue pair
• Data modeling
• Join
• Metadata
• Attribute
• Relational model
• Visual Turing Test
• Rough set

Association Discovery in Two-View Data (Extended Abstract) Matthijs van Leeuwen Esther Galbrun

Source URL: www.patternsthatmatter.org

• Data mining
• Data management
• Theoretical computer science
• Association rule learning
• Database
• Lossless compression
• Algorithm
• Data analysis
• Relational data mining

Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries Ullas Nambiar Dept of Computer Science & Engg Arizona State University, USA

Source URL: webdb2004.cs.columbia.edu

• Data management
• Relational model
• Database theory
• Data modeling
• Relational database
• Data integration
• Functional dependency
• Database
• Relation
• Conjunctive query
• Tuple
• Join

2012 IEEE 12th International Conference on Data Mining Tuple MapReduce: Beyond classic MapReduce Pedro Ferrera, Ivan de Prado, Eric Palacios Datasalt Systems S.L.

Source URL: pangool.net

• Hadoop
• Parallel computing
• Cloud infrastructure
• Apache Software Foundation
• Distributed computing architecture
• MapReduce
• Apache Hadoop
• Apache HBase
• Tuple
• Relational database
• Pig
• Cascading

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

Source URL: ai2-website.s3.amazonaws.com

• Markov models
• Relational model
• Machine learning
• Probability distribution
• Bayesian network
• Reinforcement learning
• Relational data mining
• Loss function

Proceedings of the KDD-2003 Workshop on Multi-Relational Data Mining (MRDM-2003), pp, Washington DC, August, 2003 Scaling Up ILP to Large Examples: Results on Link Discovery for Counter-Terrorism

Source URL: www.cs.utexas.edu

Appears in the Proceedings of the National Science Foundation Workshop on Next Generation Data Mining, Nov. 2002, Baltimore, MD. Relational Data Mining with Inductive Logic Programming for Link Discovery Raymond J. Moon

Source URL: www.cs.utexas.edu

In Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (Eds.), AAAI Press, 2004 Chapter 1 Relational Data Mining with

Source URL: www.cs.utexas.edu