State of the art of graph-based data mining-Reference-Cited by-同舟云学术

State of the art of graph-based data mining

Published:2003-07 Issue:1 Volume:5 Page:59-68
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Washio Takashi¹,Motoda Hiroshi¹

Affiliation:

1. Osaka University, 8-1, Mihogaoka, Ibaraki-shi, Osaka, Japan

Abstract

The need for mining structured data has increased in the past few years. One of the best studied data structures in computer science and discrete mathematics are graphs. It can therefore be no surprise that graph based data mining has become quite popular in the last few years.This article introduces the theoretical basis of graph based data mining and surveys the state of the art of graph-based data mining. Brief descriptions of some representative approaches are provided as well.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/959242.959249

Reference25 articles.

1. MRDM'01: Workshop multi-relational data mining. In conjunction with PKDD'01 and ECML'01 2002. http://www.kiminkii.com/mrdm/. MRDM'01: Workshop multi-relational data mining. In conjunction with PKDD'01 and ECML'01 2002. http://www.kiminkii.com/mrdm/.

2. J. Cook and L. Holder. Substructure discovery using minimum description length and background knowledge. J. Artificial Intel. Research 1 :231--255 1994. J. Cook and L. Holder. Substructure discovery using minimum description length and background knowledge. J. Artificial Intel. Research 1 :231--255 1994.

3. Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity;Debnath A.;J. Medicinal Chemistry,1991

Cited by 186 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. SUSIE: Pharmaceutical CMC ontology-based information extraction for drug development using machine learning;Computers & Chemical Engineering;2023-11

2. Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications;SIAM Review;2023-11

3. Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. A new clustering method based on multipartite networks;PeerJ Computer Science;2023-10-13

5. Generic features selection for structure classification of diverse styled scholarly articles;Multimedia Tools and Applications;2023-07-16