Data Mining: An Overview from Database Perspective

Data Mining: An Overview from Database Perspective

Temporal Databases and Frequent Pattern Mining Techniques

Data mining is the process of exploring and analyzing data from different perspective, using automatic or semiautomatic techniques to extract knowledge or useful information and discover correlations or meaningful patterns and rules from large databases. One of the most vital characteristic missed by the traditional data mining systems is their capability to record and process time-varying aspe...

Overview of Intrusion Detection Techniques in Database

Data is one of the most valuable assets in today's world and is used in the everyday life of every person and organization. This data stores in a database in order to restore and maintain its efficiently. Since there is a database that can be exploited by SQL injection attacks, internal threats, and unknown threats, there are always concerns about the loss or alteration of data by unauthorized ...

An overview of interval encoded temporal mining involving prioritized mining, fuzzy mining, and positive and negative rule mining

ISSN:0975-9646 Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions. In real life, media information has time attributes either implicitly or explicitly called as temporal data. This paper focuses on an encoding method for the temporal database that reduces the memory utilization during proce...

Review - Data Mining: An Overview from a Database Perspective

Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many different fields have shown great interest in data mining. Several emerging applications in information providing services, ...

Survey of Biodata Analysis from a Data Mining Perspective

Recent progress in biology, medical science, bioinformatics, and biotechnology has led to the accumulation of tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns in large databases. The question becomes how to bridge the two f...