Publisher
Routledge, Taylor &Francis Group
Editors
Dr. Mohammad Zoynul Abedin, Dalian Maritime University, Dalian, China;Hajee Mohammad Danesh STU, Dinajpur, Bangladesh
Prof. M. Kabir Hassan, Ph.D.; University of New Orleans, New Orleans, LA70148, USA
Dr. Petr Hajek, University of Pardubice, Studentská 84, Pardubice 53210,Czech Republic
Dr. Mohammed Mohi Uddin, University of Illinois Springfield, OneUniversity Plaza, Springfield, 62703, IL, USA
Call for Chapters
Proposal submission deadline: January 31, 2020
Full chapters due date: April 30, 2020
Final submission (after accommodating review comments) Date: June 15, 2020
Recommended Topics
· Review ofMachine learning/Data Analytic Applications in Finance, Accounting, Economics,Management, Insurance, Auditing
· DataPre-processing in Finance/Accounting/Economics/Insurance/Auditing
· DataClustering in Finance/Accounting/Economics/Insurance/Auditing
· FeatureSelection with Business Data(Finance/Accounting/Economics/Management/Insurance/Auditing)
· FeatureTransformation for Corporate Tax Default Prediction: Application of Machine LearningApproaches
· AssessingAgricultural Finance with Discriminant Analysis and Logistic Regression
· PredictingMicro Finance Customers' Creditworthiness: Applications of Neural Networks
· SupportVector Machine in SME Data Classification
· Applicationof Decision Tree Classifiers for Predicting Bankruptcy Data
· Credit Risk Modelingin online P2P Lending using Ensemble Learning
· BankCustomers Loyalty Prediction with Random Forest: Which Customers are HappyCustomers?
· Credit CardAnomaly Detection with K-NN Algorithm:A Nobel Insight for Detecting Financial Fraud
· HybridMachine Learning Algorithms for Classifying Islamic Financial Data
· TransferLearning in Insurance Data Modeling
· Rough SetApproaches to Unsupervised Neural Network-Based Pattern Classifier: Lessonsfrom Stock Market Data
· BayesianAlgorithms: A New way of Predicting Customers' Financial Revenue
· FraudDetection in Financial Statements of Business Groups: Applications of Baggingand Boosting
· Time SeriesData Classification with Machine Learning
· FinancialMortgage Default Prediction with Extreme Learning Machine: Insights from ClassImbalance Data
· MeasuringInternet Financial Product Feasibility with Deep Learning Approaches
· Deep Neural Networksfor Asset Pricing
· Analysis ofText Data (Review of Text Data Applications) in Finance, Accounting, Economics,Management, Insurance, Auditing
· Applicationsof Big Data (Review of Big Data Applications) in Finance, Accounting,Economics, Management, Insurance, Auditing
· BusinessIntelligence for Decision Making in Finance, Accounting, Economics, Management,Insurance, Auditing
· Others – anycontribution related to the theme of the book
Submission Procedure
Academic researchers and industrial practitionersare invited to submit the chapter proposals (an extended abstract including theproposed methodology). The authors will be informed within seven working daysafter their submission about the outcomes of their proposals. Full chapters areexpected to be submitted by April 30, 2020. This book follows a double-blindreview process.
Please submit your chapter proposal(s)/full manuscript(s) to
Dr. MZAbedin; abedinmz@yahoo.com
Prof. MKHassan, Ph.D.; mhassan@uno.edu
Dr. PetrHajek; petr.hajek@upce.cz
Dr. MMUddin; muddi2@uis.edu
Sincere greetings and best wishes!
The Editors
The Essentials of MachineLearning in Finance and Accounting
Routledge, Taylor &Francis Group
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