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» Information extraction, data mining and joint inference
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ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
14 years 7 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
AIM
2004
14 years 9 months ago
Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...
Christopher Bailey-Kellogg, Feng Zhao
ADMA
2009
Springer
105views Data Mining» more  ADMA 2009»
15 years 29 days ago
Mining User Position Log for Construction of Personalized Activity Map
Consider a scenario in which a smart phone automatically saves the user’s positional records for personalized location-based applications. The smart phone will infer patterns of ...
Hui Fang, Wen-Jing Hsu, Larry Rudolph
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
15 years 4 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
14 years 1 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...