Opening book details…
Can I read An Improved Apriori Algorithm Research in Massive Data Environment on EtoBox?
An Improved Apriori Algorithm Research in Massive Data Environment by Yu Xu; Ranzhi Zhan; Gang Tan; Lu Chen; BoJin Tian is a book available to read on EtoBox.
What is An Improved Apriori Algorithm Research in Massive Data Environment about?
Smart grid computing environment is an information platform that has lots of production data, data management, and the real-time and non realtime data. Under such massive data environment, the classic Apriori algorithm of mining association rules has a significant performance bottleneck. After analyzing the Apriori algorithm, the MapReduce programming model is used to realize the parallel Apriori algorithm. In order to improve the mining efficiency further, auxiliary tables and attribute columns are added and parallel strategy is improved in the process of candidate itemsets generation. Simulation experiments show that the improved Apriori algorithm can effectively reduce the algorithm execution time and improve the efficiency of data mining under the massive data environment.
- Author
- Yu Xu; Ranzhi Zhan; Gang Tan; Lu Chen; BoJin Tian
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030152352
- Subjects
- Computer Science, Engineering, Science
More by Yu Xu; Ranzhi Zhan; Gang Tan; Lu Chen; BoJin Tian
Browse all works by Yu Xu; Ranzhi Zhan; Gang Tan; Lu Chen; BoJin Tian
Similar books
- Predict Future Events Over Smart Environment Through Modified Apriori Algorithm — Lipichanda Goswami; Vaskar Deka; Manoj Kumar Deka (2022)
- Quantitative Analysis of Frequent Itemsets Using Apriori Algorithm on Apache Spark Framework — Ramesh Dharavath; Shashi Raj (2017)
- Improved Genetic Algorithm for Monitoring of Virtual Machines in Cloud Environment — Sayantani Basu; G. Kannayaram; Somula Ramasubbareddy; C. Venkatasubbaiah (2018)
- An Improved KNN Algorithm for Vertical Search Engines — Yubo Jia; Hongdan Fan; Guanghu Xia; Xing Dong (2011)
- An Improved GWO Algorithm for Data Clustering — Gyanaranjan Shial; Chitaranjan Tripathy; Sibarama Panigrahi; Sabita Sahoo (2022)
- BTSAH: Batch Task Scheduling Algorithm Based on Hungarian Algorithm in Cloud Computing Environment — Gobichettipalayam Krishnaswamy Kamalam; Sandhiya Raja; Sruthi Kanakachalam (2023)