Mining Heterogeneous Information Networks by Exploring the Power of Links

被引：0
|
作者：
Han, Jiawei [1 ]
机构：
[1] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA
来源：
DISCOVERY SCIENCE, PROCEEDINGS | 2009年 / 5808卷
关键词：
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：
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneous information networks with several interesting tasks, including link-based object distinction, veracity analysis, multidimensional online analytical processing of heterogeneous information networks, and rank-based clustering. Some recent results of our research that explore the crucial information hidden in links will be introduced, including (1) Distinct for object distinction analysis, (2) TruthFinder for veracity analysis, (3) Infonet-OLAP for online analytical processing of information networks, and (4) RankClus for integrated ranking-based clustering. We also discuss some of our on-going studies in this direction.
引用
收藏
页码：13 / 30
页数：18
相关论文
共 50 条
  • [1] Mining Heterogeneous Information Networks: Principles and Methodologies
    Sun, Yizhou
    Han, Jiawei
    [J]. Synthesis Lectures on Data Mining and Knowledge Discovery, 2012, 3 (02): : 1 - 161
  • [2] Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks
    Cao, Bokai
    Kong, Xiangnan
    Yu, Philip S.
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2014, : 50 - 59
  • [3] Exploring the power of heuristics and links in multi-relational data mining
    Yin, Xiaoxin
    Han, Jiawei
    [J]. FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2008, 4994 : 17 - +
  • [4] A Methodology for Mining Document-Enriched Heterogeneous Information Networks
    Grcar, Miha
    Lavrac, Nada
    [J]. DISCOVERY SCIENCE, 2011, 6926 : 107 - 121
  • [5] A Methodology for Mining Document-Enriched Heterogeneous Information Networks
    Grcar, Miha
    Trdin, Nejc
    Lavrac, Nada
    [J]. COMPUTER JOURNAL, 2013, 56 (03): : 321 - 335
  • [6] Constructing and Mining Heterogeneous Information Networks from Massive Text
    Shang, Jingbo
    Shen, Jiaming
    Liu, Liyuan
    Han, Jiawei
    [J]. KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 3191 - 3192
  • [7] Nash networks with heterogeneous links
    Haller, H
    Sarangi, S
    [J]. MATHEMATICAL SOCIAL SCIENCES, 2005, 50 (02) : 181 - 201
  • [8] Performance evaluation of heterogeneous wireless information and power networks
    Li, Rui
    Cao, Ning
    Chen, Yunfei
    Mao, Minghe
    [J]. IET COMMUNICATIONS, 2020, 14 (21) : 3771 - 3777
  • [9] Secure Wireless Information and Power Transfer in Heterogeneous Networks
    Ren, Yuan
    Lv, Tiejun
    Gao, Hui
    Li, Yingxiang
    [J]. IEEE ACCESS, 2017, 5 : 4967 - 4979
  • [10] Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks
    Zhuang, Honglei
    Zhang, Jing
    Brova, George
    Tang, Jie
    Cam, Hasan
    Yan, Xifeng
    Han, Jiawei
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2014, : 1127 - 1132
12345