METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING MODELS FOR PREDICTING REOCCURRING TRANSACTIONS

METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING MODELS FOR PREDICTING REOCCURRING TRANSACTIONS

A computer-implemented method for generating a model of periodic transactions based on the cluster of transactions is disclosed. The method comprises determining a dataset of transactions occurring during a first time period, and determining a subset of related transactions from the dataset of trans...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: DOAN, Danny, DRIDAN, Rebecca, QIN, Allen, CHEAH, Soon-Ee
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A computer-implemented method for generating a model of periodic transactions based on the cluster of transactions is disclosed. The method comprises determining a dataset of transactions occurring during a first time period, and determining a subset of related transactions from the dataset of transactions. The method further comprises selecting a first transaction interval pattern, selecting a first clustering criteria, wherein the first clustering criteria comprises a threshold deviation from the first transaction interval pattern, and based on the first transaction interval pattern and the first clustering criteria, identifying a cluster of transactions from the subset of related transactions. Identifying the cluster of transactions comprises: determining an interval difference between the dates of at least one pair of transactions in the subset of related transactions; and determining the cluster of transactions as the transactions of the subset of related transactions that comply with the first transaction interval pattern and the threshold deviation from first transaction interval pattern.