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ویرایش: [1st ed. 2021]
نویسندگان: Arnab Kumar Laha (editor)
سری:
ISBN (شابک) : 9813366559, 9789813366558
ناشر: Springer
سال نشر: 2021
تعداد صفحات: 243
[236]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 6 Mb
در صورت تبدیل فایل کتاب Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Springer Proceedings in Business and Economics) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تجزیه و تحلیل پیشرفته کاربردی: ششمین کنفرانس بین المللی IIMA در تجزیه و تحلیل داده های پیشرفته، تجزیه و تحلیل کسب و کار و هوش (مجموعه مقالات اسپرینگر در تجارت و اقتصاد) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Contents Editor and Contributors Machine Learning for Streaming Data: Overview, Applications and Challenges 1 Introduction to Machine Learning and Streaming Data 2 Classification and Regression in Streaming Data 2.1 Classification Algorithms 2.2 Regression Algorithms 3 Drift Detection Algorithms 3.1 Supervised Drift Detection 3.2 Unsupervised Drift Detection 4 Applications 5 Conclusion References Binary Prediction 1 Introduction 2 Logistic Regression 3 Application to Binary Prediction 4 Maximum Score Predictor 5 Examples 5.1 Example 1 5.2 Example 2 6 Conclusion References Reliability Shock Models: A Brief Excursion 1 Introduction 2 The Discrete Definitions 3 The Shock Models 3.1 Homogeneous Poisson Shock Model 3.2 Nonhomogeneous Poisson Shock Model 3.3 Pure Birth Shock Model 4 The Cumulative Damage Shock Model References Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters 1 Introduction 2 Transparent Neural Network Model (TRANN) 3 TraNN Parameter Estimation 4 TRANN Model Parameter Test for Significance 5 Simulation Study 6 Conclusion References Style Scanner—Personalized Visual Search and Recommendations 1 Introduction 2 Related Work 3 Our Approach 4 Training Dataset Generation 5 Implementation Details 6 Dataset and Evaluation 7 Production Pipeline 8 Future Developments 9 Conclusion References Artificial Intelligence-Based Cost Reduction for Customer Retention Management in the Indian Life Insurance Industry 1 Introduction 1.1 Company Information 1.2 Background 1.3 Purpose of Research 1.4 Overview of Customer Retention Operations 2 Source of Data 2.1 Description of Datasets 3 Methodology 3.1 Defining Research Objective 3.2 Data Extraction 3.3 Data Exploration 3.4 Data Processing 3.5 Model Building 3.6 Deep Learning Model (Neural Networks) 4 Results 5 Conclusion 6 Implications References Optimization of Initial Credit Limit Using Comprehensive Customer Features 1 Introduction and Motivation 2 Literature Review 3 Methodology 4 Benefits to the Business References Mitigating Agricultural Lending Risk: An Advanced Analytical Approach 1 Introduction 2 Literature Review 3 Agriculture Credit in India: Trends and Current Scenario 4 Research Methodology 5 Results 6 Policy Implications 7 Limitations and Conclusion Appendix 1 Appendix 2: Key Summary Statistic Kolmogorov–Smirnov Test Gini Coefficient References Application of Association Rule Mining in a Clothing Retail Store 1 Introduction 1.1 Literature Review 1.2 Pricing Intelligence 2 Methodology 3 Data 3.1 Data Analysis, Results and Findings 4 Conclusion Appendix References Improving Blast Furnace Operations Through Advanced Analytics 1 Introduction 1.1 Literature Review 1.2 Purpose of Research 2 Data Availability 2.1 Understanding the Present Control System 3 Data Analysis and Modeling 3.1 Data Preparation 3.2 Modeling 3.3 Model Validation 4 Results and Conclusion References Food Index Forecasting 1 Business Problem 2 Data Gathering 3 Model Development 3.1 Pre-modeling 3.2 Modeling Process 3.3 Evaluation Metrics 4 Results 5 Conclusion References Implementing Learning Analytic Tools in Predicting Students’ Performance in a Business School 1 Introduction 2 Purpose of Research 3 Research Objectives 4 Methodology 4.1 Data Collection 4.2 Data Preparation 4.3 Partition the Data 4.4 Build Models 4.5 Evaluate the Models 5 Results and Discussion 5.1 Descriptive Analytics 5.2 Scatter Plot 5.3 Model to Predict the Academic Status in a Course 5.4 Model Building to Predict the Grade of a Student in the Capstone Course 6 Implications and Conclusion References An Optimal Response-Adaptive Design for Multi-treatment Clinical Trials with Circular Responses 1 Introduction 2 The Proposed Allocation Design 3 Implementation of the Allocation Design in Practice 4 Performance Evaluation 4.1 Performance Measures 4.2 Simulation Studies 5 Redesigning a Real Clinical Trial: SICS Trial 6 Concluding Remarks References Stochastic Comparisons of Systems with Heterogeneous Log-Logistic Components 1 Introduction 2 Notations, Definitions, and Preliminaries 3 Order Relations for Parallel Systems 4 Order Relations for Series System References Stacking with Dynamic Weights on Base Models 1 Introduction 2 Literature Review 3 Stacking by Conventional Way 3.1 Steps of Stacking by Conventional Way 4 Proposed Method I: Stacking Using Neighbourhood-Based Dynamic Weights 4.1 Steps of Stacking Using Neighbourhood-Based Dynamic Weights 5 Proposed Method II: Stacking Using Distance-Based Dynamic Weights 5.1 Steps of Stacking Using Distance-Based Dynamic Weights 6 Findings 6.1 Wholesale Customer Data 6.2 Pima Indians Diabetes Data 6.3 Bank Note Authentication Data 6.4 Iris Data 7 Conclusion References The Effect of Infrastructure and Taxation on Economic Growth: Insights from Middle-Income Countries 1 Introduction 2 Methods of Study and Data 3 Empirical Results 4 Conclusion and Policy Implications Appendix 1: List of Middle-Income Countries (MICs) References Response Prediction and Ranking Models for Large-Scale Ecommerce Search 1 Problem Statement 2 Literature Survey 3 Algorithm 4 Feature Selection 5 Business Insights 6 ML Architecture 7 A/B Framework 8 Future Work References Connectedness of Markets with Heterogeneous Agents and the Information Cascades 1 Introduction 2 Related Work 3 Research Objectives 4 Methodology 4.1 Data Source and Details 4.2 Estimation Framework 5 Preliminary Results 6 Discussion 7 Concluding Remarks 8 Appendix References