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PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
13 years 12 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 9 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
CONEXT
2009
ACM
13 years 9 months ago
Macroscope: end-point approach to networked application dependency discovery
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to ma...
Lucian Popa 0002, Byung-Gon Chun, Ion Stoica, Jaid...
DSS
2007
74views more  DSS 2007»
13 years 8 months ago
Novel information discovery for intelligence and counterterrorism
Intelligence analysts construct hypotheses from large volumes of data, but are often limited by social and organizational norms and their own preconceptions and biases. The use of...
David B. Skillicorn, Nikhil Vats
AINA
2010
IEEE
14 years 1 months ago
Data Integration at Scale: From Relational Data Integration to Information Ecosystems
Our world is increasingly data-driven. The growth and value of data continue to exceed all predictions. Potential for business opportunity, economic growth, scientific discovery, ...
Michael L. Brodie