Main Reference PaperData Optimization Techniques using Bloom Filter in Big Data, International Journal of Computer Applications, May 2016 [Java/Hadoop].
  • This work is focused on accessing of data is more efficient. Bloom filter technique is probabilistic data model which is used to make processing of data more efficient. The proposed techniques reduce the both of space complexity and time complexity due to converting original data into array of bits.

+ Description
  • This work is focused on accessing of data is more efficient. Bloom filter technique is probabilistic data model which is used to make processing of data more efficient. The proposed techniques reduce the both of space complexity and time complexity due to converting original data into array of bits.

  • To achieve the space-efficient and time efficient.

  • To reduce the computation by apply the bloom filter on map function.

+ Aim & Objectives
  • To achieve the space-efficient and time efficient.

  • To reduce the computation by apply the bloom filter on map function.

  • A technique is contributed to further reduce the search space and execution time in Big Data.

+ Contribution
  • A technique is contributed to further reduce the search space and execution time in Big Data.

  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

+ Software Tools & Technologies
  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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