Business Analytics with R and Python:
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Singapore
Springer
[2024]
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| Series: | AI for Risks
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xi, 196 Seiten Illustrationen |
| ISBN: | 9789819747719 |
| ISSN: | 2731-6335 |
Staff View
MARC
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Record in the Search Index
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Contents 1 Data Mining in Business . 1.1 Introduction . 1.2 Requirements for Data Mining . 1.3 Business Data Mining. 1.3.1 Frequent Itemset Mining . 1.3.2 Customer Relationship Management. 1.3.3 Bankruptcy Prediction . 1.3.4 Fraud Detection . 1.4 Summary . 1 1 3 4 5 5 5 6 7 2 Data Mining Processes. 2.1 KDD . 2.2 CRISP-DM. 2.2.1 Business Understanding . 2.2.2 Data Understanding . 2.2.3 Data Preparation. 2.2.4 Modeling . 2.2.5 Evaluation . 2.2.6
Deployment. 2.3 SEMMA . 2.3.1 Step 1 (Sample) . 2.3.2 Step 2 (Explore) . 2.3.3 Step 3 (Modify) . 2.3.4 Step 4 (Model) . 2.3.5 Step 5 (Assess) . 2.4 Model Controls . 2.5 Evaluation of Model Results .,. 2.5.1 Example Model . 2.5.2 Cost Metrics . 9 9 10 10 11 11 12 13 14 14 14 15 15 16 16 16 17 18 19
viiî Contents 2.5.3 Other Measures. 2.6 Summary . References . 20 21 21 3 Data Mining Software . 3.1 R . 3.2 Rattle. 3.3 Python. 3.3.1 Installing Python. 3.3.2 Running Python . 3.4 Summary . 23 23 29 31 31 38 40 4 Association Rules . 4.1 Methodology . 4.2 Demonstration Dataset . 4.2.1 Fit . 4.2.2 Lift
. 4.3 The Apriori Algorithm . 4.4 Association Rules from Software . 4.4.1 Association Rules in Rattle. 4.4.2 R Code. 4.4.3 Python Code . 4.5 Conclusion . Reference . 41 42 42 43 45 48 50 52 5 57 61 62 62 Cluster Analysis . 63 5.1 К-Means Clustering . 64 5.1.1 A Clustering Algorithm. 64 5.1.2 Loan Data . 65 5.2 Clustering Methods Used in Software . 67 5.3 Example Cases. 5.3.1 Churn Clustering Model . 5.3.2 Credit Risk Assessment Model . 69 5.4 Software
. 5.4.1 Portuguese Bankruptcy Dataset . 70 5.4.2 Rattle К-Means Clustering . 71 5.4.3 R Clustering . 5.4.4 R Code. 5.4.5 Python Clustering. 5.5 File BostonHousingKaggle.csv. 83 5.5.1 R Code . 5.6 Summary . 97 References . 97 68 68 70 75 76 80 89
Contents 6 Regression Algorithms in Data Mining . 6.1 Regression Models . 6.2 Forecasting S P 500 . 6.2.1 R Code for Simple Regression . 6.2.2 Python Code for Simple Regression . 6.3 ARIMA Modeling. 6.3.1 R Code for ARIMA . 6.3.2 Python Code for ARIMA . 6.4 Multiple Regression . 6.4.1 R Code for Multiple Regression. 6.4.2 Python Code for Multiple Regression . 6.5 Stepwise Regression . 6.5.1 R Code for Stepwise Regression . 6.6 Logistic Regression. 6.6.1 Tests of the Regression Model . 6.6.2 Software Demonstrations of Logistic Regression . 6.6.3 R Code. 6.6.4 Python Code . 6.7 Summary
. 99 100 101 102 103 104 106 108 108 110 112 113 114 117 118 119 121 123 124 7 Classification Tools . 7.1 Classification Models . 7.1.1 Regression. 7.1.2 Decision Trees . 7.1.3 Random Forest . 7.1.4 Extreme Boosting. 7.1.5 Support Vector Machines . 7.1.6 Neural Networks. 7.2 Bankruptcy Data Set. 7.3 Logistic Regression. 7.3.1 R Code Logistic Regression . 7.3.2 Python Code Logistic Regression . 7.4 Support Vector Machines. 7.4.1 RCodeSVM. 7.4.2 Python Code SVM. . . 7.5 Neural Networks
. 7.5.1 R Code Neural Network . 7.5.2 Python Code Neural Network. 7.6 Decision Trees. 7.6.1 R Code Decision Tree . 7.6.2 Python Code Decision Tree . 7.7 Random Forests. 7.7.1 R Code Random Forest . 7.7.2 Python Code Random Forest . 7.8 Boosting . 125 125 125 125 126 126 126 127 128 129 132 133 135 137 138 139 140 142 143 145 147 148 149 152 154
Contents 7.8.1 RCodeXGBoost . 7.8.2 Python Code Gradient Boosting. 7.9 Comparison . 7.10 Loan Default Prediction Model. 7.11 Summary . References . 155 156 158 160 162 163 8 Variable Selection . 8.1 Taiwan Bankruptcy Data . 8.1.1 Coσelation . 8.1.2 Logistic RegressionVariableSignificance . 8.1.3 Entropy . 8.1.4 Information Content fromRandomForest Models . 8.1.5 Control Models Using All94Variables . 8.2 Example VariableSelection Case . 8.3 Value of VariableReduction . References . 165 166 167 167 171 171 172 173 174 179 9 Dataset Balancing
. 9.1 Bankruptcy Datasets . 9.2 Balancing . 9.3 Process . 9.4 Data. 9.4.1 Poland Data. 9.4.2 Taiwan Data . 9.4.3 Slovak Data. 9.4.4 U.S. Data . 9.5 Results . 9.6 Example Credit Card Fraud Detection Case . 9.7 Conclusions . References . 181 181 182 182 183 183 183 184 184 184 188 191 192 Correction to: Business Analytics with R and Python . Cl Index. 195 10 |
| any_adam_object | 1 |
| author | Olson, David L. 1944- Wu, Desheng Dash Luo, Cuicui Nabavi, Majid |
| author_GND | (DE-588)1055798854 (DE-588)135613337 |
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| author_role | aut aut aut aut |
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| dewey-ones | 658 - General management |
| dewey-raw | 658.4038 |
| dewey-search | 658.4038 |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| indexdate | 2025-01-28T09:06:42Z |
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| isbn | 9789819747719 |
| issn | 2731-6335 |
| language | English |
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| spelling | Olson, David L. 1944- Verfasser (DE-588)1055798854 aut Business Analytics with R and Python David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi Singapore Springer [2024] xi, 196 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier AI for Risks 2731-6335 Business Information Systems Business information services Management (DE-588)4037278-9 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Management (DE-588)4037278-9 s Datenanalyse (DE-588)4123037-1 s Data Mining (DE-588)4428654-5 s R Programm (DE-588)4705956-4 s Python Programmiersprache (DE-588)4434275-5 s b DE-604 Wu, Desheng Dash Verfasser aut Luo, Cuicui Verfasser (DE-588)135613337 aut Nabavi, Majid Verfasser aut Erscheint auch als Online-Ausgabe 978-981-9747-72-6 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035259058&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Olson, David L. 1944- Wu, Desheng Dash Luo, Cuicui Nabavi, Majid Business Analytics with R and Python Business Information Systems Business information services Management (DE-588)4037278-9 gnd Python Programmiersprache (DE-588)4434275-5 gnd R Programm (DE-588)4705956-4 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Business Analytics with R and Python |
| title_auth | Business Analytics with R and Python |
| title_exact_search | Business Analytics with R and Python |
| title_full | Business Analytics with R and Python David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi |
| title_fullStr | Business Analytics with R and Python David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi |
| title_full_unstemmed | Business Analytics with R and Python David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi |
| title_short | Business Analytics with R and Python |
| title_sort | business analytics with r and python |
| topic | Business Information Systems Business information services Management (DE-588)4037278-9 gnd Python Programmiersprache (DE-588)4434275-5 gnd R Programm (DE-588)4705956-4 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Business Information Systems Business information services Management Python Programmiersprache R Programm Data Mining Datenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035259058&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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