APPLICATION OF DATA MINING IN HIGHER SECONDARY DIRECTORATE OF KERALA

被引：0
|
作者：
Mathew, Sajan [1 ]
Abraham, John T. [2 ]
机构：
[1] Bharathiar Univ, Coimbatore, Tamil Nadu, India
[2] Bharata Mata Coll, Comp Sci, Kochi, Kerala, India
来源：
PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DATA MINING AND ADVANCED COMPUTING (SAPIENCE) | 2016年
关键词：
Data Classification; Data Mining; Examination Result Analysis; Naive Bayes Theorem; Higher Secondary Directorate;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we discuss Data Mining and its application in Higher Secondary Directorate of Kerala. Data Mining process has a set of functionalities among which classification has wide application in real world data processing. We examine the Naive Bayes classification techniques. In the third section, we explain Naive Bayes Theorem using an experiment. This experiment covers attributes like School Type, Candidate Type, Study Type, Districts, etc. These attribute values, we are using to analysing the result of Higher Secondary First Year Improvement Examination held in September 2015. This will improve the performance and data processing speed of Higher Education Directorate. This paper demonstrates the application of Data Mining in Higher Secondary Examination result. This will help further research and will improvise the activity of Higher Secondary Directorate.
引用
收藏
页码：74 / 78
页数：5
相关论文
共 50 条
  • [31] Application of data mining for biomedical data processing
    Shon H.-S.
    Kim K.-O.
    Cha E.-J.
    Kim K.-A.
    [J]. Transactions of the Korean Institute of Electrical Engineers, 2016, 65 (07): : 1236 - 1241
  • [32] The Application of Data Mining Technology to Big Data
    Wang, Jinlong
    Liu, Jing
    Higgs, Russell
    Zhou, Li
    Zhou, Chuanai
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 2, 2017, : 284 - 288
  • [33] Application of Data Mining in Manufacturing Quality Data
    Wang, Keqin
    Tong, Shurong
    Eynard, Benoit
    Roucoules, Lionel
    Matta, Nada
    [J]. 2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 5382 - +
  • [34] A Data Mining Application on Moving Object Data
    Yakufu, Yasen
    Atay, Canan Eren
    [J]. 2016 ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM 2016), 2016, : 91 - 95
  • [35] Visual data mining of application services data
    Knoetze, Ronald
    Cilliers, Charmain
    Wesson, Janet
    [J]. INFORMATION VISUALIZATION-BOOK, 2006, : 402 - +
  • [36] Data Mining for Protein Secondary Structure Prediction
    Cheng, Haitao
    Sen, Taner Z.
    Jernigan, Robert L.
    Kloczkowski, Andrzej
    [J]. DATA MINING IN CRYSTALLOGRAPHY, 2010, 134 : 135 - 167
  • [37] Structural data mining on secondary genomic structure
    Lam, WWM
    Chan, KCC
    [J]. BIBE 2005: 5TH IEEE SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING, 2005, : 263 - 266
  • [38] Pharmaceutics Data mining to discover secondary effects
    Deroin, Philippe
    [J]. BIOFUTUR, 2012, (332) : 9 - 9
  • [39] Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student
    Bashir Khan Yousafzai
    Maqsood Hayat
    Sher Afzal
    [J]. Education and Information Technologies, 2020, 25 : 4677 - 4697
  • [40] Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student
    Yousafzai, Bashir Khan
    Hayat, Maqsood
    Afzal, Sher
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (06) : 4677 - 4697
12345