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  • Search: subject:"frequent pattern mining"
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Year of publication
Subject
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frequent pattern mining 6 Bergbau 4 Data Mining 4 Data mining 4 Mining 4 association rule mining 3 Frequent Pattern Mining 2 Frequent pattern mining 2 ORDB 2 PCA 2 Theorie 2 Theory 2 array list structure 2 coaching strategies 2 cricket match data analysis 2 cricket match data sets 2 cricket matches 2 cricketers 2 dependency criterion 2 dimensionality reduction 2 frequent pattern generation 2 lift measure 2 object-relational data models 2 play patterns 2 player performance 2 principal component analysis 2 sports data analysis 2 sports data mining 2 strong association rules 2 Absatz 1 Algorithm 1 Algorithmus 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian model 1 CUDA 1 Combining 1 Core-peripheral 1 Data stream mining 1 Decomposition 1
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Online availability
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Undetermined 3 Free 2
Type of publication
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Article 9 Other 1
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 5 Undetermined 5
Author
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Bagui, Sikha 2 Bagui, Subhash C. 2 Just, Jiri 2 Rajaram, M. 2 UmaMaheswari, P. 2 Jagannath, Sandhya 1 Jon Doyle 1 Li, Mengling 1 Lin, Zhibin 1 Mahajan, Renuka 1 Mahajan, Vishal 1 Menezes, Bernard 1 Misra, Richa 1 Murlidharan, Vikayalaksmi 1 PIRJAN, Alexandru 1 Peng Ning 1 Peter Wurman 1 Rajalekshmi, V. G. 1 Sodhi, J. S. 1 Zhang, Yangyu 1 Zheng, Weimin 1
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Published in...
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International Journal of Data Analysis Techniques and Strategies 4 Informatica Economica 1 International journal of logistics economics and globalisation 1 Opsearch : journal of the Operational Research Society of India 1 Technology operation management : TOM ; official publication of the Society of Operations Management 1 Tourism management : research, policies, practice 1
Source
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RePEc 5 ECONIS (ZBW) 4 BASE 1
Showing 1 - 10 of 10
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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
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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
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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
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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
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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
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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
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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
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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
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Cover Image
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/10008563408
Saved in:
Cover Image
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/10008563414
Saved in:
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