Sciweavers

104 search results - page 5 / 21
» Discovering Trends in Text Databases
Sort
View
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 9 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
WWW
2007
ACM
15 years 10 months ago
Compare&contrast: using the web to discover comparable cases for news stories
Comparing and contrasting is an important strategy people employ to understand new situations and create solutions for new problems. Similar events can provide hints for problem s...
Jiahui Liu, Earl Wagner, Larry Birnbaum
IVC
2008
69views more  IVC 2008»
14 years 9 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
15 years 9 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 9 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu