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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
AINA
2010
IEEE
15 years 11 months ago
Data Integration at Scale: From Relational Data Integration to Information Ecosystems
Our world is increasingly data-driven. The growth and value of data continue to exceed all predictions. Potential for business opportunity, economic growth, scientific discovery, ...
Michael L. Brodie
EMNLP
2008
15 years 7 months ago
Relative Rank Statistics for Dialog Analysis
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
Juan Huerta
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
14 years 1 months ago
Coupled temporal scoping of relational facts
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mi...
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
16 years 1 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar