LiveZilla Live Chat Software

Efficient Top-k Retrieval on Massive Data

Efficient Top-k Retrieval on Massive Data

Starting at: Rs.4,500.00

4500 reward points

Efficient Top-k Retrieval on Massive Data

 In many applications, top-k query is an important operation to return a set of interesting points in a potentially huge data space. It is analyzed in this paper that the existing algorithms cannot process top-k query on massive data efficiently. This paper proposes a novel table-scan-based T2S algorithm to efficiently compute top-k results on massive data. T2S first constructs the presorted table, whose tuples are arranged in the order of the round-robin retrieval on the sorted lists. T2S maintains only fixed number of tuples to compute results. The early termination checking for T2S is presented in this paper, along with the analysis of scan depth. The selective retrieval is devised to skip the tuples in the presorted table which are not top-k results. The theoretical analysis proves that selective retrieval can reduce the number of the retrieved tuples significantly. The construction and incremental-update/batch-processing methods for the used structures are proposed in this paper. The extensive experimental results, conducted on synthetic and real-life data sets, show that T2S has a significant advantage over the existing algorithms.


ClickMyProject Specifications
Including Packages
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)

Add to Cart:

  • Model: PROJ5220
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:


This product was added to our catalog on Tuesday 13 September, 2016.