Slides used for presentation.

1. Relevant Updated Data Retrieval
Architectural Model for Continous Text
Extraction

2.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

3.  Sliding Window
 Count-based Window
 Time-based Window
 Incremental Threshold
 MapReduce
 Map
 Reduce
 Unsupervised Duplicate Detection

4.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

5.  Tough to monitor data stream
 Time consuming – Only server to process
 Entire document set has to be scanned
 Duplicate documents may be retrieved
 Main Memory not sufficient to accommodate large number of
documents

6.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

7.  MapReduce technique
 Server – Master Node
 Worker (Slave) Nodes
 Number of Worker Nodes is query dependent
 Each Worker Node uses Incremental Threshold Algorithm
for computing k relevant documents

10.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

14.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

15.  Processing Continuous Text Queries over Document Streams
 Continual monitoring of a list of recent documents
 First attempt to address email and news monitoring applications
 Currently for Text Documents
 Future Work – extending to Hyperlink structure

16.  Introduction
 Existing System
 Proposed System
 Algorithm
 Conclusion
 References

17.  Kyriakos Mouraditis, Spiridon Bakiras, Dimitris Papadias, ― “Continuous
Monitoring of top-K queries sliding window”.
 B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, 2002, ― “Models and
Issues in Data Streaming System” PODS„02, 1-16.
 VNAnh and A. Moffat, 2002, ― “Impact Transformation: Effective Efficient Web
Retrieval”, Int„l ACM SIGIR conf. Research and Development in Information
Retrieval.