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» Discovering Classification from Data of Multiple Sources
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IJCAI
2003
13 years 9 months ago
SVMC: Single-Class Classification With Support Vector Machines
Single-Class Classification (SCC) seeks to distinguish one class of data from the universal set of multiple classes. We present a new SCC algorithm that efficiently computes an ac...
Hwanjo Yu
ADC
2006
Springer
125views Database» more  ADC 2006»
13 years 11 months ago
A reconstruction-based algorithm for classification rules hiding
Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset...
Juggapong Natwichai, Xue Li, Maria E. Orlowska
ECCV
2006
Springer
14 years 9 months ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
IASSE
2004
13 years 9 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
BMCBI
2008
105views more  BMCBI 2008»
13 years 7 months ago
A gene pattern mining algorithm using interchangeable gene sets for prokaryotes
Background: Mining gene patterns that are common to multiple genomes is an important biological problem, which can lead us to novel biological insights. When family classification...
Meng Hu, Kwangmin Choi, Wei Su, Sun Kim, Jiong Yan...