A Study of Evolutionary Trends of Classical Music Works Based on Data Mining

被引：0
|
作者：
Li, Yeye [1 ]
机构：
[1] College of Music, Sichuan University of Light Chemical Technology, Sichuan, Zigong,643000, China
来源：
Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期
关键词：
22;
D O I：
10.2478/amns-2024-3318
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Analysis of music teaching technology based on a data mining model
    Liu Y.
    Applied Mathematics and Nonlinear Sciences, 2023, 8 (02) : 3013 - 3022
  • [22] A Data Mining-Based Evaluation Technique for Music Teaching
    Qin, Zeng
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [23] Foreword: Evolutionary data mining for big data
    Ding, Weiping
    Yen, Gary G.
    Cai, Xinye
    Cao, Zehong
    SWARM AND EVOLUTIONARY COMPUTATION, 2020, 57
  • [24] Music Pattern Mining for Chromosome Representation in Evolutionary Composition
    Liu, Chien-Hung
    Ting, Chuan-Kang
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 2145 - 2152
  • [25] Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture
    Avram, Anca
    Matei, Oliviu
    Pintea, Camelia-M
    Pop, Petrica C.
    Anton, Carmen Ana
    14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019), 2020, 950 : 199 - 208
  • [26] Future trends in data mining
    Hans-Peter Kriegel
    Karsten M. Borgwardt
    Peer Kröger
    Alexey Pryakhin
    Matthias Schubert
    Arthur Zimek
    Data Mining and Knowledge Discovery, 2007, 15 : 87 - 97
  • [27] Future trends in data mining
    Kriegel, Hans-Peter
    Borgwardt, Karsten M.
    Kroeger, Peer
    Pryakhin, Alexey
    Schubert, Matthias
    Zimek, Arthur
    DATA MINING AND KNOWLEDGE DISCOVERY, 2007, 15 (01) : 87 - 97
  • [28] Web data mining trends
    Baeza-Yates, Ricardo
    PROFESIONAL DE LA INFORMACION, 2009, 18 (01): : 5 - 10
  • [29] Search model of educational trends based on Data Mining techniques
    Huanca-Gonza, Rosario
    Vera-Sancho, Julio
    Eduardo Arbieto-Batallanos, Carlos
    del Carmen Cordova-Martinez, Maria
    CISETC 2019: INTERNATIONAL CONGRESS ON EDUCATION AND TECHNOLOGY IN SCIENCES, 2019, 2555 : 147 - 156
  • [30] Google Trends for Data Mining. Study of Czech Towns
    Horak, Jiri
    Ivan, Igor
    Kukuliac, Pavel
    Inspektor, Tomas
    Devecka, Branislav
    Navratova, Marketa
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, 2013, 8083 : 100 - 109
12345