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» Discovering Relational Patterns across Multiple Databases
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ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 10 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
AAAI
2006
13 years 9 months ago
Cross-Domain Knowledge Transfer Using Structured Representations
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
Samarth Swarup, Sylvian R. Ray
VLDB
2011
ACM
251views Database» more  VLDB 2011»
13 years 2 months ago
Harvesting relational tables from lists on the web
A large number of web pages contain data structured in the form of “lists”. Many such lists can be further split into multi-column tables, which can then be used in more seman...
Hazem Elmeleegy, Jayant Madhavan, Alon Y. Halevy
SIGMOD
2005
ACM
138views Database» more  SIGMOD 2005»
14 years 8 months ago
QPipe: A Simultaneously Pipelined Relational Query Engine
Relational DBMS typically execute concurrent queries independently by invoking a set of operator instances for each query. To exploit common data retrievals and computation in con...
Stavros Harizopoulos, Vladislav Shkapenyuk, Anasta...
ICDM
2007
IEEE
186views Data Mining» more  ICDM 2007»
14 years 2 months ago
Mining Interpretable Human Strategies: A Case Study
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...