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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
15 years 10 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
ICCAD
2004
IEEE
155views Hardware» more  ICCAD 2004»
15 years 6 months ago
A flexibility aware budgeting for hierarchical flow timing closure
—In this paper, we present a new block budgeting algorithm which speeds up timing closure in timing driven hierarchical flows. After a brief description of the addressed flow, ...
Olivier Omedes, Michel Robert, Mohammed Ramdani
ACSC
2006
IEEE
15 years 3 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...
PVLDB
2011
14 years 17 days ago
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop
Hadoop has become an attractive platform for large-scale data analytics. In this paper, we identify a major performance bottleneck of Hadoop: its lack of ability to colocate relat...
Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özc...