The document proposes an architectural model for continuously retrieving relevant updated data from text streams using MapReduce techniques. It aims to address issues with existing systems that find it tough to monitor data streams, are time consuming with only servers able to process, require scanning entire document sets, and may retrieve duplicate documents. The proposed system uses multiple worker nodes running an incremental threshold algorithm to compute the k most relevant documents for a query in a distributed manner.

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.