user

Improving Classification in Data mining using Hybrid algorithm

被引：0
|
作者：
Ahlawat, Akanksha [1 ]
Suri, Bharti [1 ]
机构：
[1] USICT, GGSIPU, Delhi, India
来源：
2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP) | 2016年
关键词：
Knowledge discovery; Hybrid algorithm; Classification; Genetic Miner; Information gain; Clustering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data mining is a powerful concept with great potential to predict future trends and behavior. It refers to the extraction of hidden knowledge from large datasets using techniques like statistical analysis, machine learning, clustering, neural networks and genetic algorithms. Hybrid algorithms for data mining are a logical combination of multiple pre-existing techniques to enhance performance and provide better results[11]. The hybrid algorithm proposed in this paper uses the concept of clustering and decision tree induction to classify the data samples. When the proposed approach is tested on real life datasets, the results obtained show improved accuracy in most cases.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Performance Enhancement of Classification Scheme in Data Mining using Hybrid Algorithm
    Singhal, Neelam
    Ashraf, Mohd
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA), 2015, : 138 - 141
  • [2] A hybrid approach for improving the accuracy of classification algorithms in data mining
    Akgobek, Omer
    [J]. ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH, 2012, 29 (02): : 1039 - 1054
  • [3] Improving the classification of phishing websites using a hybrid algorithm
    Sharma, Suvita Rani
    Singh, Birmohan
    Kaur, Manpreet
    [J]. COMPUTATIONAL INTELLIGENCE, 2022, 38 (02) : 667 - 689
  • [4] Concept Classification Using a Hybrid Data Mining Model
    Brown, Sarah
    Forouraghi, Babak
    [J]. ICTAI: 2009 21ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, 2009, : 375 - 378
  • [5] Music Genre Classification Using Data Mining Algorithm
    Panchwagh, Mangesh M.
    Katkar, Vijay D.
    [J]. 2016 CONFERENCE ON ADVANCES IN SIGNAL PROCESSING (CASP), 2016, : 49 - 53
  • [6] A study of classification algorithm for Data Mining based on Hybrid Intelligent Systems
    Wang, Gang
    Zhang, Chenghong
    Huang, Lihua
    [J]. PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2008, : 371 - 375
  • [7] Image Classification using Hybrid Data Mining Algorithms - A Review
    Thamilselvan, P.
    Sathiaseelan, J. G. R.
    [J]. 2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2015,
  • [8] Improving algorithm Apriori for data mining
    Zhang, Zhuo
    Zhang, Lu
    Zhong, Shao-Chun
    Guan, Jiwen
    [J]. COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 17 - 22
  • [9] An algorithm for classification in data mining based on classification codes
    Sankar, H. Ravi
    Naidu, M. M.
    [J]. IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 766 - +
  • [10] Prediction of Heart Disease Using a Hybrid Technique in Data Mining Classification
    Dewan, Ankita
    Sharma, Meghna
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 704 - 706
12345