Data mining for numeric data

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博士論文

制度:新 ; 文部省報告番号:乙1475号 ; 学位の種類:博士(情報科学) ; 授与年月日:1999-06-17 ; 早大学位記番号:新2857 ; 理工学図書館請求番号:2394

Contents / p3 (0003.jp2)
1 Introduction / p1 (0007.jp2)
1.1 Contributions / p3 (0008.jp2)
1.2 Thesis Outline / p6 (0010.jp2)
2 One-Dimensional Rules / p7 (0010.jp2)
2.1 Introduction / p7 (0010.jp2)
2.2 Preliminaries / p11 (0012.jp2)
2.3 Making Equi-depth Buckets / p14 (0014.jp2)
2.4 Algorithms / p17 (0015.jp2)
2.5 Optimized Ranges for Average Operator / p28 (0021.jp2)
2.6 Performance Results / p29 (0021.jp2)
2.7 Conclusions / p31 (0022.jp2)
3 Two-Dimensional Rules / p35 (0024.jp2)
3.1 Introduction / p35 (0024.jp2)
3.2 Preliminaries / p41 (0027.jp2)
3.3 Optimized Rectangular Regions / p43 (0028.jp2)
3.4 X-monotone and Rectilinear Convex Regions / p44 (0029.jp2)
3.5 Visualization / p59 (0036.jp2)
3.6 Experimental Results / p59 (0036.jp2)
3.7 Conclusions / p66 (0040.jp2)
4 Parallel Aggregation / p69 (0041.jp2)
4.1 Introduction / p69 (0041.jp2)
4.2 Algorithms for Single Queries / p75 (0044.jp2)
4.3 Algorithms for Multiple Queries / p77 (0045.jp2)
4.4 Analytical Evaluation / p82 (0048.jp2)
4.5 Empirical Evaluation / p88 (0051.jp2)
4.6 Conclusions / p93 (0053.jp2)
5 Decision Tree / p95 (0054.jp2)
5.1 Introduction / p95 (0054.jp2)
5.2 Entropy-Based Data Splitting / p99 (0056.jp2)
5.3 Algorithms / p104 (0059.jp2)
5.4 Performance / p108 (0061.jp2)
5.5 Application to Credit Risk Analysis / p111 (0062.jp2)
5.6 Conclusions / p112 (0063.jp2)
6 Summary and Future Work / p115 (0064.jp2)
6.1 Thesis Summary / p115 (0064.jp2)
6.2 Future Work / p118 (0066.jp2)
Acknowledgements / p121 (0067.jp2)
Bibliography / p123 (0068.jp2)