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ISMIS
2009
Springer
15 years 10 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
WWW
2005
ACM
15 years 9 months ago
X-warehouse: building query pattern-driven data
In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of in...
Ji Zhang, Wei Wang, Han Liu, Sheng Zhang
121
Voted
PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 9 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
140
Voted
BIBE
2010
IEEE
148views Bioinformatics» more  BIBE 2010»
14 years 11 months ago
Prediction of Gene Ontology Annotations Based on Gene Functional Clustering
We propose an algorithm that predicts potentially missing Gene Ontology annotations, in order to speed up the time-consuming annotation curation process. The proposed method extend...
Marco Tagliasacchi, Roberto Sarati, Marco Masserol...