A survey on algorithms for mining frequent itemsets over data streams

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Knowledge and information systems
1. Verfasser: Cheng, James (VerfasserIn)
Weitere Verfasser: Ke, Yiping (VerfasserIn), Ng, Wilfred (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2008
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Beyond topical similarity : a structural similarity measure for retrieving highly similar documents 2008 Wan, Xiaojun
Tracking clusters in evolving data streams over sliding windows 2008
CaBMA : a case-based reasoning system for capturing, refining, and reusing project plans 2008 Xu, Ke
Compressed hierarchical binary histograms for summarizing multi-dimensional data 2008
Typed Abstract State Machines for data-intensive applications 2008 Schewe, Klaus-Dieter
Multirelational classification : a multiple view approach 2008 Guo, Hongyu
Measuring ranked list robustness for query performance prediction 2008 Zhou, Yun
S2S : structural-to-syntactic matching similar documents 2008 Aygün, Ramazan S.
The importance of generalizability for anomaly detection 2008 Peterson, Gilbert L.
Clustering based on matrix approximation : a unifying view 2008 Li, Tao
Self-supervised relation extraction from the Web 2008 Rozenfeld, Benjamin
A new concise representation of frequent itemsets using generators and a positive border 2008 Liu, Guimei
Top 10 algorithms in data mining 2008
Robust projected clustering 2008 Moise, Gabriela
Ensembles of relational classifiers 2008 Preisach, Christine
On the use of structure and sequence-based features for protein classification and retrieval 2008 Marsolo, Keith
Cluster ranking with an application to mining mailbox networks 2008
Learning to extract and summarize hot item features from multiple auction web sites 2008 Wong, Tak-Lam
Privacy-preserving SVM classification 2008 Vaidya, Jaideep
Mining interesting imperfectly sporadic rules 2008 Koh, Yun Sing
Alle Artikel auflisten