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PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 3 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 3 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
PLDI
2012
ACM
13 years 6 days ago
Language-based control and mitigation of timing channels
We propose a new language-based approach to mitigating timing channels. In this language, well-typed programs provably leak only a bounded amount of information over time through ...
Danfeng Zhang, Aslan Askarov, Andrew C. Myers
WISEC
2010
ACM
15 years 4 months ago
pBMDS: a behavior-based malware detection system for cellphone devices
Computing environments on cellphones, especially smartphones, are becoming more open and general-purpose, thus they also become attractive targets of malware. Cellphone malware no...
Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Senc...
IEEEPACT
2009
IEEE
15 years 4 months ago
Characterizing the TLB Behavior of Emerging Parallel Workloads on Chip Multiprocessors
Translation Lookaside Buffers (TLBs) are a staple in modern computer systems and have a significant impact on overall system performance. Numerous prior studies have addressed TL...
Abhishek Bhattacharjee, Margaret Martonosi