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» Mining Data Streams under Block Evolution
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ICC
2007
IEEE
145views Communications» more  ICC 2007»
15 years 4 months ago
Predicting User-Perceived Quality Ratings from Streaming Media Data
Abstract—Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media...
Amy Csizmar Dalal, David R. Musicant, Jamie F. Ols...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
14 years 8 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
15 years 10 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
TWC
2008
137views more  TWC 2008»
14 years 9 months ago
Block diagonalization for multi-user MIMO with other-cell interference
Abstract--Block diagonalization is one approach for linear precoding in the multiple-input multiple-output broadcast channel that sends multiple interference free data streams to d...
Seijoon Shim, Jin Sam Kwak, Robert W. Heath Jr., J...
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
15 years 10 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White