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» Data Mining: Machine Learning, Statistics, and Databases
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DIS
2004
Springer
15 years 6 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
DIS
2007
Springer
15 years 7 months ago
Machine Learning in Ecosystem Informatics
Ecosystem Informatics brings together mathematical and computational tools to address scientific and policy challenges in the ecosystem sciences. These challenges include novel s...
Thomas G. Dietterich
IJCAI
2003
15 years 2 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
15 years 7 months ago
Finding Transport Proteins in a General Protein Database
The number of specialized databases in molecular biology is growing fast, as is the availability of molecular data. These trends necessitate the development of automatic methods fo...
Sanmay Das, Milton H. Saier Jr., Charles Elkan
ADC
2010
Springer
214views Database» more  ADC 2010»
14 years 8 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar