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Efficient mining of maximal frequent itemsets from databases on a cluster of workstations

Chung, Soon M.; Luo, Congnan - In: Knowledge and information systems : an international journal 16 (2008) 3, pp. 359-391

Persistent link: https://www.econbiz.de/10003768311

An information-theoretic approach to quantitative association rule mining

Ke, Yiping; Cheng, James; Ng, Wilfred - In: Knowledge and information systems : an international journal 16 (2008) 2, pp. 213-244

Persistent link: https://www.econbiz.de/10003763193

Entity matching with similarity encoding : a supervised learning recommendation framework for linking (big) data

Karapanagiotis, Pantelis; Liebald, Marius - 2023

In this study, we introduce a novel entity matching (EM) framework. It com-bines state-of-the-art EM approaches based on Artiﬁcial Neural Networks (ANN) with a new similarity encoding derived from matching techniques that are preva-lent in ﬁnance and economics. Our framework is on-par or...

Persistent link: https://www.econbiz.de/10014327033

Knowledge Discovery from Databases : the Nyu Project

Clifford, James - 2009

More and more application domains, from financial market analysis to weatherprediction, from monitoring supermarket purchases to monitoring satellite images, arebecomingly increasingly data-intensive. The result is massive databases that are growingat a rapid rate - it has been estimated that...

Persistent link: https://www.econbiz.de/10012766039

Optimal database marketing : strategy, development, and data mining

Drozdenko, Ronald G. - 2002

, Database Marketing Services, The Reader's Digest Association This informative book looks at the long-term impact of database …Cover -- Contents -- Preface -- Foreword -- 1 - Introduction to Database Marketing Concepts -- 2 - Strategic Database … Development in the Marketing Planning Process -- 3 - Defining Customer Data Requirements -- 4 - Database Maintenance and Coding …

Persistent link: https://www.econbiz.de/10012692100

A Framework for Automated Association Mining Over Multiple Databases

Çinicioğlu, Esma Nur - 2018

Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions....

Persistent link: https://www.econbiz.de/10012923439

Artificial intelligence databases: turn-on big data of the SMBs

Manivannan, P.; Prabha, D.; Balasubramanian, K. - In: International journal of business information systems : … 39 (2022) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10012887829

The forthcoming data ecosystem for business measurement and assurance

Cho, Soohyun; Vasarhelyi, Miklos A.; Zhang, Chanyuan - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 1-21

Persistent link: https://www.econbiz.de/10012416666

Data for good : unlocking privately-held data to the benefit of the many

Alemanno, Alberto - 2018

to explain to citizens across the world that their own data - which has been aggressively harvested over time - can’t be …

Persistent link: https://www.econbiz.de/10012118677

Incremental maintenance of discovered fuzzy association rules

Pérez-Alonso, A.; Blanco, I. J.; Serrano, J. M.; … - In: Fuzzy optimization and decision making : a journal of … 20 (2021) 4, pp. 429-449

Persistent link: https://www.econbiz.de/10012651789