Machine Learning Algorithms for Data Categorization and Analysis in Communication

被引：0
|
作者：
Xian, Tan [1 ]
机构：
[1] Hubei Univ Nationalities, Coll Literature & Commun, Enshi, Hubei Province, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND INTELLIGENT CONTROL (ISIC 2012) | 2012年
关键词：
component; Traffic; MOR; Data mining;
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：
Machine learning and pattern recognition contains well-defined algorithms with the help of complex data, provides the accuracy of the traffic levels, heavy traffic hours within a cluster. In this paper the base stations and also the noise levels in the busy hour can be predicted. J48 pruned tree contains 23 nodes with busy traffic hour provided in east Godavari. Signal to noise ratio has been predicted at 55, based on CART results. About 53% instances provided inside the cluster and 47% provided outside the cluster. DBScan clustering provided maximum noise from srikakulam. MOR (Number of originating calls successful) predicted as best associated attribute based on Apriori and Genetic search 12: 1 ratio.
引用
收藏
页码：1 / 3
页数：3
相关论文
共 50 条
  • [21] Big data algorithms beyond machine learning
    Mnich M.
    [J]. KI - Kunstliche Intelligenz, 2018, 32 (01): : 9 - 17
  • [22] Analysis of Image Thresholding Algorithms for Automated Machine Learning Training Data Generation
    Creek, Tristan
    Mullins, Barry E.
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON CYBER WARFARE AND SECURITY (ICCWS 2022), 2022, : 449 - 458
  • [23] ECG data analysis and heart disease prediction using machine learning algorithms
    Thithi, Sushimita Roy
    Akfar, Afifa
    Aleem, Fahimul
    Chakrabarty, Amitabha
    [J]. PROCEEDINGS OF 2019 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2019, : 819 - 824
  • [24] Diverse Analysis of Data Mining and Machine Learning Algorithms to Secure Computer Network
    Kumar, Neeraj
    Kumar, Upendra
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2022, 124 (02) : 1033 - 1059
  • [25] Diverse Analysis of Data Mining and Machine Learning Algorithms to Secure Computer Network
    Neeraj Kumar
    Upendra Kumar
    [J]. Wireless Personal Communications, 2022, 124 : 1033 - 1059
  • [26] Systematic Analysis of Machine Learning Algorithms on EEG Data for Brain State Intelligence
    Chan, Alexander
    Early, Christopher E.
    Subedi, Sishir
    Li, Yuezhe
    Lin, Hong
    [J]. PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2015, : 793 - 799
  • [27] Comparative Analysis of Unsupervised Machine Learning Algorithms for Anomaly Detection in Network Data
    Oliveira, Junia Maisa
    Almeida, Jonatan
    Macedo, Daniel
    Nogueira, Jose Marcos
    [J]. 2023 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS, LATINCOM, 2023,
  • [28] Hardware Requirements of Communication-Centric Machine Learning Algorithms
    Koskinen, Lauri
    Roverato, Enrico
    [J]. 2013 NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS (AHS), 2013, : 138 - 143
  • [29] Application of Machine Learning to Create a Recommendation in Social Communication Based on Data Analysis
    Bloshenkina, Alisa A.
    Tcyguleva, Kseniya, V
    [J]. PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS), 2021, : 241 - 245
  • [30] Evaluation of machine learning algorithms to Sentinel SAR data
    Navale, Ashish
    Haldar, Dipanwita
    [J]. SPATIAL INFORMATION RESEARCH, 2020, 28 (03) : 345 - 355
12345