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» Privacy in Data Mining Using Formal Methods
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ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
15 years 4 months ago
Mining Public Transport Usage for Personalised Intelligent Transport Systems
Traveller information, route planning, and service updates have become essential components of public transport systems: they help people navigate built environments by providing a...
Neal Lathia, Jon Froehlich, Licia Capra
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
15 years 12 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 7 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
16 years 2 days ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh