Project Login
Registration No:
Password:
MAIL ALERTS SMS ALERTS
 
     
   
     

A SIGNATURE-BASED INDEXING METHOD FOR EFFICIENT CONTENT-BASED RETRIEVAL OF RELATIVE TEMPORA PATTERNS

Platform : JAVA

Non IEEE Project : 2011

A SIGNATURE-BASED INDEXING METHOD FOR EFFICIENT CONTENT-BASED RETRIEVAL OF RELATIVE TEMPORA PATTERNS CONTENT ABSTRACT: Project aims for efficient content based retrieval process of relative temporal pattern using signature based indexing method. Rule discovery algorithms in data mining generate a large number of patterns/rules, sometimes even exceeding the size of the underlying database, with only a small fraction being of interest to the user. It is generally understood that interpreting the discovered patterns/rules to gain insight into the domain is an important phase in the knowledge discovery process. However, when there are a large number of generated rules, identifying and analyzing those that are interesting becomes difficult. We address the problem of efficiently retrieving subsets of a large collection of previously discovered temporal patterns. When processing queries on a small database of temporal patterns, sequential scanning of the patterns followed by straightforward computations of query conditions is sufficient. However, as the database grows, this procedure can be too slow, and indexes should be built to speed up the queries. The problem is to determine what types of indexes are suitable for improving the speed of queries involving the content of temporal patterns. We propose a system with signature-based indexing method to speed up content-based queries on temporal patterns And It’s used to optimize the storage and retrieval of a large collection of relative temporal patterns. The use of signature files improves the performance of temporal pattern retrieval. This retrieval system is currently being combined with visualization techniques for monitoring the behavior of a single pattern or a group of patterns over time. Modules • Finding temporal pattern similarity • Constructing Signature Files for temporal patterns • Answering Content-Based Queries Using the Signature File Existing System  Mine-Rule DMQL and OLE DB . These languages are designed to generate the rules from the data rather than allow queries over the discovered rules.  Post processing of association rules, an area in which little research to date has been conducted. Proposed System:  Efficiently retrieving subsets of a large collection of previously discovered temporal patterns.  Focuses on supporting content-based queries of temporal patterns, as opposed to point- or range-based queries. System Requirements: Hardware Requirements: PROCESSOR : PENTIUM IV 2.6 GHz RAM : 512 MB DD RAM HARD DISK : 20 GB Software Requirements: OPERATING SYSTEM : WINDOWS TECHNOLOGY : JAVA 1.6 DATABASE : ORACLE 10G

NOW GET PROJECTS ! GET TRAINED ! GET PLACED !

IEEE, NON-IEEE, REAL TIME LIVE ACADEMIC PROJECTS,

PROJECTS WITH COMPLETE COURSES,SOFT SKILLS & PLACEMENTS

ALLOVER INDIA & WORLD WIDE,

HOSTEL FACILITY AVAILABLE FOR GIRLS & BOYS SEPARATELY,

CALL: 08985129129 ,  E-Mail Id: support@ascentit.in

REGISTER FOR PROJECTS NOW ! GET DISCOUNT
   
1