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Discovering discontinuity in big financial transaction data
Suppawong Tuarob
, Ray Strong
, Anca Chandra
, Conrad S. Tucker
School of Engineering Design and Innovation
Research output
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Contribution to journal
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Article
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peer-review
10
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Scopus citations
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Keyphrases
Business Strategy
100%
Financial Data
100%
Prediction Model
100%
Ledger
100%
Machine Learning Algorithms
50%
Learnability
50%
Existing Data
50%
Traceback
50%
Historical Data
50%
Primary Intention
50%
Executive
50%
Proposed Methodology
50%
Service Delivery
50%
Data Mining Technology
50%
Resource Utilization
50%
Financial Transactions
50%
Business Transaction
50%
Monthly Report
50%
Financial Information
50%
Business Decisions
50%
Cost Optimization
50%
Massive Data
50%
That-trace
50%
Long-term Availability
50%
Big Data Mining
50%
Quarterly Reports
50%
Large Companies
50%
Set of Machines
50%
Different Geographical Areas
50%
Computer Science
Prediction Model
100%
Transaction Data
100%
Case Study
50%
Potential Application
50%
Large Scale Data
50%
Service Delivery
50%
Business Transaction
50%
Data Mining Technique
50%
Historical Data
50%
Financial Information
50%
Business Decision
50%
Computing Domain
50%
Critical Application
50%
Learning System
50%
Machine Learning
50%
Geographical Region
50%