Thomas, S., Architectures and optimizations for integrating Data Mining algorithms with Database Systems, in CSE. 1998, University of Florida.Thomas, S.: Architectures and optimizations for integrating Data Mining algorithms with Database Systems, Ph.D Thesis, CISE. Department, University of Florida...
It is the extraction ofinformation from huge volume of data or setthrough the use of various data mining techniques.The data mining techniques like clustering,classification, neural network, genetic algorithmshelp in finding the hidden and previously unknowninformation from the database. Cloud Computing...
P2P Systems • Data Mining Algorithms • Data Mining Systems, Data Warehousing, OLAP • Database and Information System Architecture and Performance • Data Structures and Data Management Algorithms • DB Systems & Applications • Digital Libraries • Distributed, Parallel, P2P and Grid-...
Performed research in the areas of high performance data mining, architecture-conscious algorithms, data stream processing and mining, interactive data mining, and outlier and anomaly detection Supervisor: Prof. Srinivasan Parthasarathy. Summer 2006 Research Intern, Mathematical Sciences Department ...
Oracle Data Mining provides data mining algorithms that run as native SQL functions for high performance in-database model building and model deployment. Oracle Data Mining can mine tables, views, star schemas, transactional data, and unstructured data. Oracle Data Mining supports a PL/SQL API ...
The embedded data mining system and un-embedded data mining system are used for data mining respectively, making use of two typical data mining algorithms in the application of managing credit card risk to verify the advantage of embedded database in data mining....
Frequent pattern mining algorithms with single minsup leads to rare item problem. Instead of setting single minsup for all items, we have used multiple minimum supports to discover frequent patterns. In this research, we have used multiple item support tree (MIS-Tree for short) to mine frequent...
In the vast data ocean, discovering and using the valuable information has become the key technology. The data mining is the powerful tool to solve this problem. In this paper, the commonly used data mining technology is introduced, and the current popul
Data Mining Algorithms • Data Mining Systems, Data Warehousing, OLAP • Data Structures and Data Management Algorithms • Database and Information System Architecture and Performance • DB Systems & Applications • Digital Libraries • Distributed, Parallel, P2P, and Grid-based Databases •...
PostgreSQL has a reasonably sophisti- cated query processor with a traditional cost-based optimizer, a broad set of execution algorithms, and a number of extensibility features not found in commercial products. MySQL’s query processor is far simpler, built around nested-loop joins over indices. ...