Bazsites.com Data Mining
Directory Topics
On the Web
- Center for Data Insight - Comprehensive Data Mining facility where all the elements of the Data Mining process coexist in one center of excellence. The Center is partnered with the latest vendors of Data Mining products covering the entire spectrum of the Data Mining process.
- Data Mining Services - Consultants for all your web mining, text mining, and data mining needs. Read more about how mining applications are helping our customers. In Berlin, Germany.
- Microsoft Data Mining Research - A long term Knowledge Discovery and Data Mining project which has the current short-term goals of research into (i) the integration of data mining with database systems and (ii) scalable data mining algorithms.
- National Center for Data Mining (NCDM) - National Center for Data Mining - A national resource for high performance and distributed for data mining. The center also researches several cutting-edge data mining projects.
- Xelopes Data Mining Library - The XELOPES library is an open platform-independent and data-source-independent library for Embedded Data Mining. XELOPES is CWM-compatible, supports the relevant Data Mining standards and can be combined with all analytical software.
- XELOPES Data Mining Library - Platform- and data-source-independent library for embedded data mining based on the CWM/OMG and other data mining standards. XELOPES-Java algorithms: SVMs, market basket analysis, sequence analysis, decision trees, cluster analysis, multidimensional grouping. XELOPES-C++ algorithms: SVMs, decision trees. [GPL]
- Data-Miner Software Kit - Collection of standalone data mining programs, available as scripts or Java programs. Contains information for downloading, installation, data preparation, and operating instructions. Supplementary to the book titled Predictive Data Mining - A Practical Guide.
- The Data Mine - Launched in April 1994 to provide information about Data Mining (AKA Knowledge Discovery In Databases or KDD). A Twiki site full of guides, info, and links
- Data Mining, Machine Learning and Bioinformatics Research, University of Edinburgh - James Malone is a Research Fellow for AIAI at the University of Edinburgh. His research encompasses data mining, machine learning, Bioinformatics and Proteomics. This site also offers a free Association Rule data mining tool - the Armada software.
- Model + Mine - Dorian Pyle's website provides information and resources related to data mining, business modeling, and analytical CRM. Dorian wrote the industry-standard work "Data Preparation for Data Mining".
Wikipedia Articles
- Weather Data Mining - Weather Data Mining is a form of Data mining concerned with finding the hidden patterns out of the Large available meteorological data, so that the information retrieved can be transformed into the usable knowledge. Variety of data mining tool and techniques are available in the industry, but limited are for ...
- Java Data Mining - Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes.
- Data-snooping bias - In statistics, data-snooping bias is a form of statistical bias generated by the misuse of data mining techniques which can lead to bogus results in scientific research. Although data-snooping biases can occur in any field that uses data mining, data snooping biases are a particular concern in finance and medical research, both of which make heavy use of data mining techniques.
- Data mining - Data mining can be defined as "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data".}} Data mining may also be defined as "the science of extracting useful information from large data sets or databases".
- Oracle Data Mining - Oracle Data Mining (ODM) is an option of Oracle Corporation's Relational Database Management System (RDBMS) Enterprise Edition (EE). It contains several data mining and data analysis algorithms for classification, prediction, regression, clustering, associations, feature selection, anomaly detection, feature extraction, and specialized analytics.