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

+ Description
  • This work proposes techniques to reduce both space and time complexity due to converting original data into array of bits. This work focuses on Bloom filter technique, a probabilistic data model which is used to make processing of data more efficient.

  • 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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