Data Mining is a process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using statistical, data analysis and mathematical techniques
Contents contributed and discussions participated by Roger Chen
Academic Productivity » The failure of open science - 0 views
Michael Nielsen » The Future of Science - 0 views
"Collaborative filtering" help drive Digg usage « Data Strategy - 0 views
KNIME - Konstanz Information Miner - 0 views
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KNIME, pronounced [naim], is a modular data exploration platform that enables the user to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models.
Data mining is not just a data recovery tool | Styx online - 0 views
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Data mining is the crucial process that helps companies better comprehend their customers. Data mining can be defined as ‘the nontrivial extraction of implicit, previously unknown, and potentially useful information from data’ and also as ‘the science of extracting useful information from large sets or databases’.
On information overload | TechWhimsy - 0 views
人立方关系搜索 - 0 views
对"豆瓣模式"的借鉴和创新 - DoNews.com - 0 views
Attribute-Relation File Format (ARFF) - 0 views
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An ARFF (Attribute-Relation File Format) file is an ASCII text file that describes a list of instances sharing a set of attributes. ARFF files were developed by the Machine Learning Project at the Department of Computer Science of The University of Waikato for use with the Weka machine learning software.
Pyflix - Trac - 0 views
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Pyflix is a small package written in Python that provides an easy entry point for getting up and running in the Netflix Prize competition. It combines an efficient storage scheme with an intuitive high-level API that allows contestants to focus on the real problem, the recommendation system algorithm. To get started with Pyflix, keep reading.
Chris Harrison's Homepage - 0 views
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Chris Harrison is a Ph.D. student in the Human-Computer Interaction Institute at Carnegie Mellon University. This site is used as a repository for some of his many projects. These hail from a variety of fields, including computer science, information visualization, engineering, history and HCI.
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Roger Chen