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IPL Visualization and Prediction Using HBase
Author(s) -
Shubhra Singh,
Parmeet Kaur
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.11.454
Subject(s) - computer science , visualization , cricket , outcome (game theory) , league , data mining , machine learning , data science , artificial intelligence , database , astronomy , biology , ecology , physics , mathematics , mathematical economics
With the increasing number of matches day by day, it has become difficult to manage or extract useful information from the available data of all the matches. The paper presents a data visualization and prediction tool in which an open-source, distributed, and non-relational database, HBase is utilized to keep the data related to IPL (Indian Premier League) cricket matches and players. This data is then used for visualizing the past performance of players’ performance. Additionally, the data is used to predict the outcome of a match through various machine learning approaches. The proposed tool can prove beneficial for the team managements in the player auctions for selecting the right team.

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