Survey of Text Chance Discovery Research

doi:10.3969/j.issn.1000-3428.2010.20.015

Computer Engineering ›› 2010, Vol. 36 ›› Issue (20): 43-45. doi: 10.3969/j.issn.1000-3428.2010.20.015

• Networks and Communications • Previous Articles Next Articles

Survey of Text Chance Discovery Research

SUN Xiao-hua1,2, LIU Da-xin1, ZHANG Jian-pei1, XU Yue-zhu1

(1. School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China; 2. College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China)

Online:2010-10-20 Published:2010-10-18

文本机会发现研究综述

孙晓华1,2，刘大昕1，张健沛1，徐悦竹1

(1. 哈尔滨工程大学计算机科学与技术学院，哈尔滨 150001；2. 哈尔滨理工大学计算机科学与技术学院，哈尔滨 150080)

作者简介:孙晓华(1974－)，女，博士，主研方向：数据库系统及应用，数据挖掘，人工智能；刘大昕、张健沛，教授；徐悦竹，博士
基金资助:
国家自然科学基金资助项目(60873037)；黑龙江省教育厅科学技术研究基金资助项目(11531049)

Abstract

Abstract: This paper multi-analyses the difference between text chance discovery and text mining from the system definition, application environment and goal etc.. It analyses the background and status, introduces the chance definition, text chance discovery key algorithm and Scenario map analysis etc. main research fields. It indicates the study orientation in the future based on the summarize of current research’s limitation.

Key words: text chance discovery, chance, text mining, Scenario map analysis

摘要： 从系统定义、应用环境以及目的等多个角度比较文本机会发现与文本挖掘的不同，分析文本机会发现的研究背景及现状，介绍机会的定义、文本机会发现关键算法、Scenario map分析等文本机会发现的主要研究热点。在总结当前研究的不足的基础上，指出未来文本机会发现的研究方向。

关键词: 文本机会发现, 机会, 文本挖掘, Scenario map分析

CLC Number:

TP18

SUN Xiao-Hua, LIU Da-Cuan, ZHANG Jian-Pei, XU Yue-Zhu. Survey of Text Chance Discovery Research[J]. Computer Engineering, 2010, 36(20): 43-45.

孙晓华, 刘大昕, 张健沛, 徐悦竹. 文本机会发现研究综述[J]. 计算机工程, 2010, 36(20): 43-45.

/ / Recommend / Download Citations

URL: http://www.ecice06.com/EN/10.3969/j.issn.1000-3428.2010.20.015

http://www.ecice06.com/EN/Y2010/V36/I20/43

References

[1] Ohsawa Y. Introduction to Chance Discovery[J]. Journal of Contingencies and Crisis Management, 2002, 10(2): 61-62. [2] 褚世卓, 陈小平. Chance Discovery研究综述[J]. 计算机科学, 2004, 31(2): 1-5. [3] Ohsawa Y. Dtection of Earthquake Risks with KeyGraph[M]// Ohsawa Y, McBurney P. Chance Discovery. [S. l.]: Springer Verlag, 2003: 339-349. [4] Goda S, Ohsawa Y. Estimation of Chain Reaction Bankruptcy Structure by Chance Discovery Method with Time Order Method and Directed KeyGraph[J]. Journal of Systems Science and Systems Engineering, 2007, 16(4): 489-498. [5] Lilia A, Tsang E P K. The Repository Method for Chance Discovery in Financial Forecasting[C]//Proc. of KES’06. Bournemouth, UK: [s. n.], 2006: 30-37. [6] Ohsawa Y. Modeling the Process of Chance Discovery[M]// Ohsawa Y, McBurney P. Chance Discovery. [S. l.]: Springer Verlag, 2003: 2-15. [7] Abe A. The Role of Abduction in Chance Discovery[J]. New Generation Computing, 2003, 21(1): 61-71. [8] Ohsawa Y. Genetic Words Carrying Sequential Context[C]//Proc. of the 2nd International Workshop on Chance Discovery. Tokyo, Japan: [s. n.], 2002: 1-10. [9] Ohsawa Y. KeyGraph: Automatic Indexing by Co-occurrence Graph Based on Building Construction Metaphor[M]//Ohsawa Y, McBurney P. Chance Discovery. [S. l.]: Springer Verlag, 2003: 262-275. [10] Ohsawa Y. KeyGraph: Visualized Structure Among Event Clusters[M]//Ohsawa Y, McBurney P. Chance Discovery. [S. l.]: Springer Verlag, 2003: 262-275. [11] Ohsawa Y. Chance Discovery with Data Crystallization: A Basic Research for Discovering Unobservable Events[J]. New Mathematics and Natural Science, 2005, 1(3): 373-392. [12] Yutaka M, Ohsawa Y. KeyWorld: Extracting Keywords from a Document as a Small World[C]//Proc. of the 4th International Conference on Discovery Science. Washington D. C., USA: [s. n.], 2001. [13] Mcburney P, Parsons S. Chance Discovery and Scenario Analysis[J]. New Generation Computing, 2003, 21(1): 13-22. [14] Takanma Y, Iwase Y. Scenario to Data Mapping for Chance Discovery Process[J]. Soft Computing, 2007, 11(8): 773-781.

[1]	LU Chenyang,KANG Yan,YANG Chengrong,PU Bin. Text Feature Alignment Algorithm for Transfer Learning Based on Semantic Structure [J]. Computer Engineering, 2019, 45(5): 116-121.
[2]	NIE Wenhui,ZENG Cheng,JIA Dawen. Microblog Hot Topics Detection Based on Heat Matrix [J]. Computer Engineering, 2017, 43(2): 57-62.
[3]	SUN Jin-guang, MA Zhi-fang, MENG Xiang-fu. Classification Method of Texts Sentiment Based on Sentiment Word Attributes and Cloud Model [J]. Computer Engineering, 2013, 39(12): 211-215.
[4]	WANG Dong, NIU Jun-Yu. Entity Retrieval Method Based on Multi-perspective Association Model [J]. Computer Engineering, 2013, 39(1): 71-75.
[5]	CAO Ze-Wen, ZHOU Tao. Design and Implementation of JP Algorithm Based on MapReduce [J]. Computer Engineering, 2012, 38(24): 14-16.
[6]	WANG Shao-Kang, DONG Ke-Jun, YAN Bao-Beng. Research on Authorship Identification Based on Sentence Rhythm Feature [J]. Computer Engineering, 2011, 37(9): 4-5,8.
[7]	ZHANG Zhen-E, CHENG Gong-Mei, ZHANG Shu-Guang. Research on Approach of Simple Scenario Map Construction in Chance Discovery [J]. Computer Engineering, 2011, 37(8): 192-193.
[8]	YUAN Fang, WANG Rui-Chun, GUAN Meng-Xiang, MO Hua-Yuan, HE Guo-Rong, ZHOU Yan-Gong. Disease Gene Prediction Based on Text Mining and Functional Similarity [J]. Computer Engineering, 2011, 37(4): 27-28.
[9]	ZHOU Xu-Chuan, ZHONG Yong, CA Li-Beng-. Formal Description Approach of Chance Discovery Theory in Multi-Agent System [J]. Computer Engineering, 2011, 37(11): 187-189.
[10]	TANG Nan, YANG Zhi-Hao, LIN Hong-Fei, LI Pan-Feng. Protein-protein Interaction Extraction from Medical Literature Based on Multiple Kernels Learning [J]. Computer Engineering, 2011, 37(10): 184-186.
[11]	AI Wei, SUN Si-Meng, ZHANG Feng. Web Text Mining and Information Retrieval Based on Ontology [J]. Computer Engineering, 2010, 36(22): 75-77.
[12]	HE Hai-jiang. Relevancy Coefficient and Its Application Adapted to Short Texts [J]. Computer Engineering, 2009, 35(6): 88-90.
[13]	GAO Ni; ZHOU Ming-quan; GENG Guo-hua; WANG Xue-song; HE Yi-yue. Topic Detection Technique Based on Text Mining [J]. Computer Engineering, 2009, 35(19): 36-38.
[14]	XU Yue-zhu; LIU Da-xin; SUN Xiao-hua. Design of Chance Discovery System Architecture Based on Intelligent Agent [J]. Computer Engineering, 2009, 35(12): 159-160.
[15]	LIU Fei; HUANG Xuan-jing; WU Li-de. Approach for Extracting Thematic Terms Based on Association Rules [J]. Computer Engineering, 2008, 34(7): 81-83.

Please choose a citation manager

Content to export

Survey of Text Chance Discovery Research

文本机会发现研究综述

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

模态框（Modal）标题

Please choose a citation manager

Content to export

Survey of Text Chance Discovery Research

文本机会发现研究综述

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments