Search Results - subject:"Frequent Pattern Mining"

Leveraging tourist trajectory data for effective destination planning and management : a new heuristic approach

Zheng, Weimin; Li, Mengling; Lin, Zhibin; Zhang, Yangyu - In: Tourism management : research, policies, practice 89 (2022), pp. 1-12

Persistent link: https://www.econbiz.de/10013325948

Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining

PIRJAN, Alexandru - In: Informatica Economica 14 (2010) 3, pp. 165-178

number of features offered, GPU processors are viable solutions for an optimal implementation of frequent pattern mining … pattern mining algorithms on various platforms and it will also be presented a comparative study of their main features. The … the data mining research community. In the following, there will be highlighted some parallel and distributed frequent …

Persistent link: https://www.econbiz.de/10009416745

Comparative study of mining algorithms for adaptive e-learning environment

Mahajan, Renuka; Sodhi, J. S.; Mahajan, Vishal; Misra, Richa - In: International journal of logistics economics and … 6 (2014/2017) 2, pp. 102-111

Persistent link: https://www.econbiz.de/10011472272

Frequent pattern mining-based sales forecasting

Murlidharan, Vikayalaksmi; Menezes, Bernard - In: Opsearch : journal of the Operational Research Society … 50 (2013) 4, pp. 455-474

Persistent link: https://www.econbiz.de/10010234260

Non-homogeneous Poisson model for mining frequency of an item from data stream

Rajalekshmi, V. G. - In: Technology operation management : TOM ; official … 3 (2012) 1/2, pp. 11-16

Persistent link: https://www.econbiz.de/10010248551

Utility Guided Pattern Mining

Jagannath, Sandhya - 2004

This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We present the use of utility functions as against thresholds and constraints as the mechanism to express user preferences and formulate several pattern mining problems that use...

Persistent link: https://www.econbiz.de/10009431247

Deriving strong association mining rules using a dependency criterion, the lift measure

Bagui, Sikha; Just, Jiri; Bagui, Subhash C. - In: International Journal of Data Analysis Techniques and … 1 (2009) 3, pp. 297-312

Traditional association mining rule algorithms have two major drawbacks: first, there is a need to repeatedly scan the dataset and second, they generate too many association rules. In this paper, we have presented a dependency-based association mining rule algorithm, implemented using an array...

Persistent link: https://www.econbiz.de/10005048922

Principal component analysis-based frequent pattern evaluation on the object-relational data model of a cricket match database

UmaMaheswari, P.; Rajaram, M. - In: International Journal of Data Analysis Techniques and … 1 (2009) 4, pp. 364-384

Frequent pattern evaluation is imperative for cricket match data to develop more proficient coaching strategies and progress the performance of individual players. The rapid growth in size of the match database far exceeds the human ability to analyse, thus creating an opportunity to extract...

Persistent link: https://www.econbiz.de/10005048925

Deriving strong association mining rules using a dependency criterion, the lift measure

Bagui, Sikha; Just, Jiri; Bagui, Subhash C. - In: International Journal of Data Analysis Techniques and … 1 (2009) 3, pp. 297-312

Persistent link: https://www.econbiz.de/10008563408

Principal component analysis-based frequent pattern evaluation on the object-relational data model of a cricket match database

UmaMaheswari, P.; Rajaram, M. - In: International Journal of Data Analysis Techniques and … 1 (2009) 4, pp. 364-384

Persistent link: https://www.econbiz.de/10008563414