TDMCS: An Efficient Method for Mining Closed

Meng Han, Jian Ding, and Juan Li School of Computer Science and Engineering, North Minzu University, China

#data stream mining # frequent pattern mining # closed pattern mining # time decay model # sliding window # concept drift

Generalization of Impulse Noise Removal Hussain Dawood1, Hassan Dawood2, and Ping Guo3 1Faculty of Computing and Information Technology, University of Jeddah, Saudi Arabia 2Department of Software Engineering, University of Engineering and Technology, Pakistan 3Image Processing and Pattern Recognition Laboratory, Beijing Normal University, China

are proposed to increase from four to eight directions to preserve the edges and to identify the noise, effectively. Modified

#Directional weighted median filter # multi-texton # impulse noise # random-valued impulse noise # salt-and-pepper noise # noise identification # modified switching median filter

Abstract: Online clustering, in an evolving high dimensional data is an amazing challenge for data mining applications.

#Cluster # data stream # fractal # self-similarity # sliding window # damped window

Meng Han, Jian Ding, and Juan Li School of Computer Science and Engineering, North Minzu University, China

#

Data Streams with Sliding Window

#Data streams # recent maximal frequent itemsets # sliding window # matrix structure

Shahid Alam,Alper Kamil Demir

#Android bytecode #malware analysis and detection #sliding window #gabor filters #gabor features #machine learning