Analysis using rough set of time series data including a large variation

被引：0

作者：

Matsumoto, Yoshiyuki ^{[1
]}

Watada, Junzo ^{[2
]}

机构：

[1] Shimonoseki City Univ, Fac Econ, Shimonoseki, Yamaguchi, Japan

[2] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka, Japan

来源：

2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) | 2014年

关键词：

rough sets; time series data; knowledge acuisition;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Rough set theory was proposed by Z.Pawlak in 1982. This theory can mine knowledge granules through a decision rule from a database, a web base, a set and so on. The decision rule is used for data analysis as well. And we can apply the decision rule to reason, estimate, evaluate, or forecast an unknown object. In this paper, the rough set theory is used to analysis of time series data. Knowledge granules are minded from the data set of tick-wise price fluctuations. We acquire knowledge from the time-series data including large variation. And we compare the data including large variation and normal data.

引用

页码：1378 / 1381

页数：4

共 50 条

[31] Time series data interpretation for 'wheel-flat' identification including uncertainties [J].

Cao, Wen-Jun ;

Zhang, Shanli ;

Bertola, Numa J. ;

Smith, I. F. C. ;

Koh, C. G. .

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2023, 22 (01) :3-18

[32] Analysis of Crime Data Using Neighbourhood Rough Sets [J].

Gnanasigamani, Lydia J. ;

Hari, Seetha .

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING, 2020, 15 (03) :61-75

[33] Advertising data analysis using rough sets model [J].

Kumar, A ;

Agrawal, DP .

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2005, 4 (02) :263-276

[34] RankExplorer: Visualization of Ranking Changes in Large Time Series Data [J].

Shi, Conglei ;

Cui, Weiwei ;

Liu, Shixia ;

Xu, Panpan ;

Chen, Wei ;

Qu, Huamin .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2012, 18 (12) :2669-2678

[35] Neural network analysis of time series data [J].

Tadeusiewicz, R. ;

Lula, P. .

Informatica (Ljubljana), 2001, 25 (01) :3-10

[36] Time Series Data Analysis for Sport Skill [J].

Maeda, Toshiyuki ;

Fujii, Masanori ;

Hayashi, Isao .

2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2012, :392-397

[37] Financial time series forecasting using rough sets with time-weighted rule voting [J].

Podsiadlo, Mariusz ;

Rybinski, Henryk .

EXPERT SYSTEMS WITH APPLICATIONS, 2016, 66 :219-233

[38] An alternative evaluation method for Likert type attitude scales: Rough set data analysis [J].

Narli, Serkan .

SCIENTIFIC RESEARCH AND ESSAYS, 2010, 5 (06) :519-528

[39] Rough set-based data analysis in goal-oriented software measurement [J].

Ruhe, G .

PROCEEDINGS OF THE 3RD INTERNATIONAL SOFTWARE METRICS SYMPOSIUM, 1996, :10-19

[40] A study on the development of the integrative credit rating systems using rough set analysis [J].

Park, KN ;

Jeong, SC ;

Cho, KK .

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2003, 10 (04) :345-352

← 1 2 3 4 5 →