MobileMiner: A Real World Case Study of Data Mining in Mobile Communication

被引:0
|
作者
Wang, Tengjiao [1 ]
Yang, Bishan [1 ]
Gao, Jun [1 ]
Yang, Dongqing [1 ]
Tang, Shiwei [1 ]
Wu, Haoyu [1 ]
Liu, Kedong [1 ]
Pei, Jian
机构
[1] Peking Univ, Minist Educ, Key Lab High Confidence Software Technol, Beijing, Peoples R China
关键词
Mobile communication data; data stream mining; sequence clustering; community discovery;
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
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance to see a working data mining system on real mobile communication data. In this demo, we showcase our new system MOBILEMINER on a real mobile communication data set, which presents a case study of business solutions using state-of-the-art data mining techniques. MOBILEMINER adaptively profiles users' behavior from,their calling and moving record streams. Customer segmentation and social community analysis can be conducted based on user profiles. We show how data mining techniques can help in mobile communication data analysis. Moreover, we also show some interesting observations which still cannot be mined by the current techniques, and thus may motivate new research and development.
引用
收藏
页码:1083 / 1085
页数:3
相关论文
共 50 条
  • [11] Mining Travel Behaviors of Tourists with Mobile Phone Data: A Case Study in Hainan
    Ling, Feng
    Sun, Tianyue
    Zhu, Xinning
    Chen, Qingqing
    Tang, Xiaosheng
    Ke, Xin
    [J]. 2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2016, : 1524 - 1529
  • [12] Predicting Environmental Allergies from Real World Data Through a Mobile Study Platform
    Sarabu, Chethan
    Steyaert, Sandra
    Shah, Nirav R.
    [J]. JOURNAL OF ASTHMA AND ALLERGY, 2021, 14 : 259 - 264
  • [13] Real-world longitudinal data collected from the SleepHealth mobile app study
    Deering, Sean
    Pratap, Abhishek
    Suver, Christine
    Borelli, A. Joseph, Jr.
    Amdur, Adam
    Headapohl, Will
    Stepnowsky, Carl J.
    [J]. SCIENTIFIC DATA, 2020, 7 (01)
  • [14] Real-world longitudinal data collected from the SleepHealth mobile app study
    Sean Deering
    Abhishek Pratap
    Christine Suver
    A. Joseph Borelli
    Adam Amdur
    Will Headapohl
    Carl J. Stepnowsky
    [J]. Scientific Data, 7
  • [15] Comparison of Real World Patient Data Sources: A Global Case Study
    Jaffe, Dena H.
    Haskell, Tom
    Bramlett, Jeffrey
    Strader, Carey
    Patel, Pankaj
    Feldman, Becca
    Bachrach, Asaf
    Hyunjung, Ahn
    Friedel, Heiko
    Pignot, Marc
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2017, 26 : 562 - 562
  • [16] Data-mining real-world dynamic systems
    Van Welden, DF
    Kerckhoffs, EJH
    [J]. SIMULATION IN INDUSTRY'2000, 2000, : 299 - 304
  • [17] Data Mining Method Based on Mobile Network Communication in Volleyball Training
    Han, Bo
    [J]. MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [18] Modeling the real world for data mining: Granular computing approach
    Lin, TY
    Louie, E
    [J]. JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 3044 - 3049
  • [19] REAL DATA; REAL WORLD; REAL STORIES: A CASE STUDY APPROACH TO DEMONSTRATING IMPACT ON THE STUDENT EXPERIENCE
    Carter, Jackie
    [J]. EDULEARN10: INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2010,
  • [20] Measurement (Data Mining) of Real Mobile Signals Data in Weka Tools for Interference Detection
    Vaghela, Ravirajsinh S.
    Gonsai, Atul
    Gami, Paresh
    [J]. INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS (ICTIS 2017) - VOL 2, 2018, 84 : 654 - 661