Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition Data Mining: Concepts, Models, Methods, and Algorithms Mehmed Kantardzic Wiley-Interscience, Piscataway, NJ, 2003, 345 pages. ISBN 0-471-22852-4 Data avail... M Kantardzic - John Wiley & Sons, Inc. 被引量: 243发表...
For mining educational DB the concepts named clustering, classification and association are used. It is concerned with developing new methods to discover knowledge from educational database. Educational data mining provides a set of techniques, which can help the educational system to overcome the ...
Table 2-7 Oracle® Database Data Mining Documentation DocumentationPart NumberDescription Oracle Data Mining Concepts E12216-02 Discusses the basic concepts underlying Oracle Data Mining. Includes information about mining functions, algorithms, data preparation, and predictive analytics. Oracle Data Mining...
Conclusion This article explained what an OLTP database is and how it differs from OLAP. It also portrayed the main OLTP concepts as well as OLTP advantages and disadvantages. Next, learnwhat a database migration isand how to do it safely....
Oracle Data Mining Concepts Oracle R Enterprise R is an open-source language and environment for statistical computing and graphics. Oracle R Enterprise makes R ready for the enterprise and big data. Designed for problems involving large amounts of data, Oracle R Enterprise integrates R with t...
processing systems, such as databases and data warehouses. To extract valuable insights from large amounts of data, OLAP techniques and methods are being used for data mining. However, it is difficult to share data between different databases, and data integration and analysis also face great ...
Caenorhabditis elegans,Saccharomyces cerevisiae, andArabidopsis thaliana. The main source of data isSwissProt. The biggest advantage of eSLDB is that it uses a more detailed positioning method. eSLDB uses more detailed localization methods, including experimentally determined, homology-based, and predicted...
This paper proposes a database-centred approach to the systematic development of new mobile service concepts. Keyword vectors are first constructed by applying text mining to the collected mobile application documents. Alternative mobile service concepts are generated by employing morphological analysis to ...
Data models are used for representing and processing data in real-world applications. To satisfy the requirement of managing diverse and complex data in databases, continuous efforts have been made to enrich existing database models with a more extensive collection of semantic concepts. We have witne...
1. A method for mining rules from an integrated database and data-mining system having a table of data transactions and a query engine, the method comprising the steps of: a) performing a group-by query on the transaction table to generate a set of frequent 1-itemsets; b) determining...