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» Privacy and Data Mining: New Developments and Challenges
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WPES
2005
ACM
15 years 3 months ago
Privacy for RFID through trusted computing
Radio Frequency Identification (RFID) technology raises significant privacy issues because it enables tracking of items and people possibly without their knowledge or consent. O...
David Molnar, Andrea Soppera, David Wagner
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
15 years 3 months ago
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...
Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wan...
IJCAI
2003
14 years 11 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro
ICT
2004
Springer
158views Communications» more  ICT 2004»
15 years 3 months ago
MobiS: A Solution for the Development of Secure Applications for Mobile Devices
With the mobile computing evolution, portable devices have emerged in the market with the possibility of connection to IP networks using wireless technologies. The migration from f...
Windson Viana, José Bringel Filho, Katy C. ...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
14 years 19 days ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi