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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 9 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
14 years 1 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
13 years 10 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»
12 years 4 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»
14 years 3 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