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HCI
2011
14 years 1 months ago
Discovering Context: Classifying Tweets through a Semantic Transform Based on Wikipedia
By mapping messages into a large context, we can compute the distances between them, and then classify them. We test this conjecture on Twitter messages: Messages are mapped onto t...
Yegin Genc, Yasuaki Sakamoto, Jeffrey V. Nickerson
CHI
2008
ACM
15 years 10 months ago
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Electronic Health Records (EHRs) and other temporal databases contain hidden patterns that reveal important cause-and-effect phenomena. Finding these patterns is a challenge when ...
Taowei David Wang, Catherine Plaisant, Alexander J...
CHI
2006
ACM
15 years 10 months ago
Discovering design drivers for mobile media solutions
We conducted user studies in 2000 and 2004 into digital media use, and discovered a number of constant findings even though the studies were separate both in geographically and ch...
Akseli Anttila, Younghee Jung
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
15 years 11 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
15 years 11 months ago
Scrutinizing Frequent Pattern Discovery Performance
Benchmarking technical solutions is as important as the solutions themselves. Yet many fields still lack any type of rigorous evaluation. Performance benchmarking has always been ...
Mohammad El-Hajj, Osmar R. Zaïane, Stella Luk...