Data mining involves significant process ofidentifying the extraction of hidden predictive informationfrom vast array of databases and it is an authoritative newtechnology with potentiality to facilitate the Libraries andInformation Centers to focus on the most importantinformation in their data warehouses. It is a viable tool topredict future trends and behaviors in the field of library andinformation service for deducing proactive, knowledge-drivendecisions. Mechanized, prospective analyses of data miningmove beyond the analyses of past events provided byretrospective tools typical of decision support systems. DataMining, Process of Data Mining, Knowledge Discovery inDatabases, DBMS, Data Mining Techniques etc. etc. havebeen discussed in this paper

No abstract

No abstract

No abstract

Security of network systems is becoming an important issue, as more and sensitive information is being stored and manipulated online. Therefore, it is essential to find an effective way to protect it. Mining approach can play very important role in developing an intrusion detection system. This paper presents various data mining Classification techniques applied on intrusion detection systems for the effective identification of both known and unknown patterns of attacks, to develop secure information systems.