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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 5 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
119
Voted
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 4 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
CIKM
2008
Springer
15 years 4 months ago
Fast mining of complex time-stamped events
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
ICAD
2004
15 years 3 months ago
Orchestration Within the Sonification of Basic Data Sets
The use of sonification as a means of representing and analysing data has become a growing field of research in recent years and as such has become a far more accepted means of wo...
Charlie Cullen, Eugene Coyle
124
Voted
CIDR
2003
125views Algorithms» more  CIDR 2003»
15 years 3 months ago
Crossing the Structure Chasm
It has frequently been observed that most of the world’s data lies outside database systems. The reason is that database systems focus on structured data, leaving the unstructur...
Alon Y. Halevy, Oren Etzioni, AnHai Doan, Zachary ...