Search Results - subject:"Frequent Itemset"

Utility-frequency analysis using customer market basket data in the retail sector

Türkölmez, Gökc̦e Baysal; Kocakoç, İpek Deveci - In: International journal of business information systems : … 41 (2022) 1, pp. 69-81

Persistent link: https://www.econbiz.de/10013460284

A two-stage integer programming model considering transaction equivalence for privacy preservation

Krishnamoorthy, Srikumar - In: Computers & operations research : and their … 148 (2022), pp. 1-14

Persistent link: https://www.econbiz.de/10013483574

A hybrid iterated local search heuristic for the traveling salesperson problem with hotel selection

Sousa, Marques Moreira de; González, Pedro Henrique; … - In: Computers & operations research : and their … 129 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012494761

Discovering event episodes from sequences of online news articles : a time-adjoining frequent itemset-based clustering method

Lee, Yen-Hsien; Hu, Paul Jen-Hwa; Zhu, Hongquan; Chen, … - In: Information & management : the internat. journal of … 57 (2020) 7, pp. 1-13

Persistent link: https://www.econbiz.de/10012384911

A regression-based algorithm for frequent itemsets mining

Jia, Zirui; Wang, Zengli - In: Data Technologies and Applications 54 (2019) 3, pp. 259-273

Purpose Frequent itemset mining (FIM) is a basic topic in data mining. Most FIM methods build itemset database …

Persistent link: https://www.econbiz.de/10014712640

Frequent Itemset Mining in Large Datasets a Survey

Kumar, Manish; Pal, Amrit - In: International Journal of Information Retrieval Research … 7 (2017) 4, pp. 37-49

Frequent Itemset Mining is a well-known area in data mining. Most of the techniques available for frequent itemset … frequent itemset mining techniques is done which can be used in a parallel environment. Programming models like Map Reduce …

Persistent link: https://www.econbiz.de/10012045562

A new methodology for mining frequent itemsets on temporal data

Ghorbani, Mazaher; Abessi, Masoud - In: IEEE transactions on engineering management : EM 64 (2017) 4, pp. 566-573

Persistent link: https://www.econbiz.de/10011773273

Scalable Ontological EAI and e-Business Integration

Lemcke, Jens - 2010

Integration of enterprise applications (EAI) and e-business integration are time-consuming and expensive. This thesis proposes pattern mining to determine identical object classes. Processes are integrated based on declared integration goals and known software behavior. A model-driven approach...

Persistent link: https://www.econbiz.de/10009434529

Mining important association rules based on the RFMD technique

Sekhavat, Yoones Asgharzadeh; Fathian, Mohammad; … - In: International Journal of Data Analysis Techniques and … 2 (2010) 1, pp. 1-21

association rules are extracted from sections with high RFMD values. The proposed method employs a new Maximum Frequent Itemset …

Persistent link: https://www.econbiz.de/10008755533

PPCI Algorithm for Mining Temporal Association Rules in Large Databases

Pandey, Anjana; Pardasani, K. R. - In: Journal of Information & Knowledge Management (JIKM) 08 (2009) 04, pp. 345-352

In this paper an attempt has been made to develop a progressive partitioning and counting inference approach for mining association rules in temporal databases. A temporal database like a sales database is a set of transactions where each transaction T is a set of items in which each item...

Persistent link: https://www.econbiz.de/10008487409