Link mining

Author:

Getoor Lise1

Affiliation:

1. University of Maryland, College Park, MD

Abstract

A key challenge for data mining is tackling the problem of mining richly structured datasets, where the objects are linked in some way. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models. Recently there has been a surge of interest in this area, fueled largely by interest in web and hypertext mining, but also by interest in mining social networks, security and law enforcement data, bibliographic citations and epidemiological records.

Publisher

Association for Computing Machinery (ACM)

Reference48 articles.

1. M. Bilenko and R. J. Mooney. On evaluation and training-set construction for duplicate detection. under review.]] M. Bilenko and R. J. Mooney. On evaluation and training-set construction for duplicate detection. under review.]]

2. Enhanced hypertext categorization using hyperlinks

3. Enhanced topic distillation using text, markup tags, and hyperlinks

Cited by 76 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emerging Trends of web Mining Through Cloud Mining (Bitcoin) in Business Companies;International Journal of Engineering and Advanced Technology;2023-12-30

2. Link prediction by adversarial Nonnegative Matrix Factorization;Knowledge-Based Systems;2023-11

3. Prognosis of Prostate Cancer Using Machine Learning;Meta Heuristic Techniques in Software Engineering and Its Applications;2022

4. Sequential pattern mining on chemical bonding database in the bioinformatics field;RECENT TRENDS IN SCIENCE AND ENGINEERING;2022

5. Doc2vec-based link prediction approach using SAO structures: application to patent network;Scientometrics;2021-11-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3