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Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining

Hongbo Li, Jimmy Lee, He Mi, Minghao Yin
In this paper, we propose a method employing frequent pattern mining (FPM), a classic datamining technique, to find good subtrees for solving constraint optimization problems.  ...  Exploring the identified subtrees first, the method brings substantial improvements for four efficient search strategies in both total runtime and runtime of finding optimal solutions.  ...  Acknowledgments The authors thank Anthony Palmieri and Guillaume Perez for sharing the source codes of Objective-Based Selector.  ... 
doi:10.1609/aaai.v34i02.5518 fatcat:g226snj43nb2vgctv65dx6dmru

An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays

Xiang Zhang, Wei Wang
2007 International Conference on Scientific and Statistical Database Management  
Algorithms developed under this assumption may not be applicable for analyzing data collected from heterogeneous settings, where the set of genes being monitored may be different and expression levels  ...  may be not directly comparable even for the same gene.  ...  It first finds frequent gene-pair MDSs and sample-pair MDSs (line 1), and applies the above two strategies for initial pruning (line 2). The algorithm then proceeds in iterations.  ... 
doi:10.1109/ssdbm.2007.30 dblp:conf/ssdbm/ZhangW07a fatcat:urncpc3tvngxbpp5k7wov3nnta

A Qualitative Study of Vocabulary Learning Strategies Applied by Iranian Undergraduate EFL Learners in Real Learning Setting

Mahdi Yazdi, Reza Kafipour
2014 English Language Teaching  
frequently used strategies.  ...  Through this sampling procedure, 238 students were selected as the random samples. They were asked to write journals for six weeks based on what they did daily in vocabulary learning.  ...  Moreover, one method or technique which works for one learner in a specific condition and setting may not work for the same learner in another condition or different setting.  ... 
doi:10.5539/elt.v7n7p1 fatcat:3xjlzyglxnfqjpmk6hnsfc5pk4

Coping strategies used in domestic violence

Shilpa Rathore, Sneha Jain
It may be frequent or infrequent, severe or subtle. Present study was carried out in order to find out the of coping strategies used by women in Domestic Violence.  ...  The data obtained were formulated in the light of objectives set for the present investigation. Percentage was calculated for each part.  ...  The data obtained were formulated in the Sneha Jain light of objectives set for the present investigation. Percentage was calculated for each part.  ... 
doi:10.15740/has/ajhs/15.2/269-272 fatcat:mxrye2atqnbntpakbvaqknjroq

Strategic Market Choice: Frequent Call Markets vs. Continuous Double Auctions for Fast and Slow Traders

Elaine Wah, Dylan Hurd, Michael Wellman
2015 Proceedings of the The Third Conference on Auctions, Market Mechanisms and Their Applications  
We also find strong evidence of a predator-prey relation between fast and slow traders: the fast traders chase agents into either market, and slow traders under pursuit seek the protection of the frequent  ...  We employ empirical game-theoretic methods to determine the market types and trading strategies selected in equilibrium.  ...  Acknowledgments We are grateful to Jacob Abernethy, Michael Barr, and Uday Rajan for helpful feedback, and to the anonymous reviewers for their suggestions.  ... 
doi:10.4108/eai.8-8-2015.2260356 dblp:journals/sg/WahHW16 fatcat:f6dstbtnvrfzjgsiapcpgepp64

The Analysis and Implementation of Algorithm of Frequent Pattern – Growth to Support the Promotion Strategy in Victory University Sorong

Iriene Surya Rajagukguk, Sri Yulianto Joko Prasetyo, Irwan Sembiring
2017 International Journal of Computer Science and Engineering  
As for FP-Growth is one of algorithm alternative that can be used to determine frequent item set in a set of data.  ...  As for how to find the right promotion strategy will be able to reduce the cost of promotion and achieve the right promotional goals.  ...  with a set of effective strategies for item set candidate.  ... 
doi:10.14445/23488387/ijcse-v4i10p106 fatcat:dy75w2cnj5dppgmccceu5upqxi

Analysis of Different Utility Mining Methodologies in Transactional Databases

Divvela SrinivasaRao, V. Sucharita
2016 International Journal of Big Data Security Intelligence  
Utility Mining may be delineated as an motion that analyze the data and draws out a few new nontrivial information from the big amount of databases. traditional data mining methods have focused on finding  ...  itemsets which have utility values above a given application threshold. in this paper, we present a literature survey of the prevailing state of studies and the numerous algorithms and its obstacles for  ...  Introduction The objective off requent item set mining Error! Reference source not found. is to find items that frequently appear in a transaction database Error!  ... 
doi:10.21742/ijbdsi.2016.3.1.01 fatcat:lfzyts5a6bghppxhtcmmrcs5fu

A Survey on Approaches for Mining Frequent Itemsets

S. Neelima, N. Satyanarayana, P. Krishna Murthy
2014 IOSR Journal of Computer Engineering  
This paper presents a literature review on different techniques for mining frequent itemsets.  ...  In data mining, association rule mining is one of the important techniques for discovering meaningful patterns from large collection of data.  ...  Acknowledgements The authors would like to thank Anonymous Reviewers for their valuable suggestions and comments. This paper has greatly benefited from their Efforts.  ... 
doi:10.9790/0661-16473134 fatcat:7nxhpfqgg5cejbs4lb375cvbfm

The effects of technology on stress and coping strategies in nurse educators

Danielle Charrier
2017 Journal of Nursing Education and Practice  
The researcher also investigated the coping strategies demonstrated by these nurse educators.  ...  It is now ever more important for nursing faculty to engage in life-long learning in informatics.  ...  [3] These findings support the need for coping strategies for nurse educators related to stress from technology.  ... 
doi:10.5430/jnep.v8n4p28 fatcat:s3ruzhm7zva47mo354kml36jfy

Harm reduction strategies related to dosing and their relation to harms among festival attendees who use multiple drugs

Fermín Fernández-Calderón, Carmen Díaz-Batanero, Monica J. Barratt, Joseph J. Palamar
2018 Drug and Alcohol Review  
We aimed to identify dosing-related harm reduction strategies in a sample of polysubstance-using dance festival attendees, and explore the relationship between harm reduction strategies and self-reported  ...  Polysubstance users are a high-risk population for negative health-related consequences.  ...  Acknowledgements The authors would like to thank all participants who completed the survey for their time and efforts, and harm reduction organisations that disseminated the study "Party and Drugs Research  ... 
doi:10.1111/dar.12868 pmid:30302851 pmcid:PMC6338512 fatcat:5nihjwrspjevldk2nfvseqz22i

Teaching Strategies in Literature Subjects in Pup Taguig Branch Towards the Development of Instructional Modalities

A A Gordonas
2018 KnE Social Sciences  
Interactive teaching dominated among the teaching strategies used by literature teachers verbally interpreted as Frequently while the least is direct instruction.  ...  Based on the data analysed and interpreted, the following findings were deduced: In terms of their profile, majority of the respondents are aged 18-20 years old, female and single.  ...  values 1 = standard deviation of the first set of values IRCHE 2017 2 = standard deviation of the second set of values 1 = sample size of the first set 2 = sample size of the second setThe formula for  ... 
doi:10.18502/kss.v3i6.2375 fatcat:aajmedciszgjvhue5svrjdpsmu

Inferring Intra-Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques

Disha Tandon, Mohammed Monzoorul Haque, Sharmila S. Mande, Niyaz Ahmed
2016 PLoS ONE  
A Linux implementation of the Association Rule Mining (ARM) software (customised for deriving 'microbial association rules' from microbiome data) is freely available for download from the following link  ...  The classical Apriori approach derives association rules by analysing patterns of co-occurrence/co-exclusion between various '(subsets of) features/items' across various samples.  ...  Deepak Yadav for providing us with relevant scripts. Author Contributions  ... 
doi:10.1371/journal.pone.0154493 pmid:27124399 pmcid:PMC4849775 fatcat:aqpvgk2afnds3bdgs4ujviuqpe

Interview Strategies Commonly Used by Pediatricians

Janis S. Mendelsohn, Michael T. Quinn, Wylie L. McNabb
1999 Archives of Pediatrics & Adolescent Medicine  
The pediatricians sampled varied by geographic location as well as by practice setting.  ...  Conclusions: The findings substantiate the influence of the developmental stage of the child on interview strategies used by pediatricians.  ...  Calming Strategies Strategies reportedly used for calming the upset or disruptive child were much the same as those used for building rapport.  ... 
doi:10.1001/archpedi.153.2.154 pmid:9988245 fatcat:u4x3d75o55a35isr4qz6azfnyu

A Collaborative Approach of Frequent Item Set Mining: A Survey

Arpan Shah, Pratik Patel
2014 International Journal of Computer Applications  
We have defined present"s techniques for frequent item set mining. From the large variety of capable algorithms that have been established we will compare the most important ones.  ...  In data mining, association rule mining is key technique for discovering useful patterns from large collection of data. Frequent iemset mining is a step of association rule mining.  ...  Thus, we try to find the frequent candidates for the sample only and there is chance to find error of global frequent elements in that sample hence lower threshold support is used rather than actual minimum  ... 
doi:10.5120/18775-0088 fatcat:czop6l3ktncnlbwaat4rpzknuq

Usefulness of quality click-through data for training

Craig Macdonald, Iadh Ounis
2009 Proceedings of the 2009 workshop on Web Search Click Data - WSCD '09  
We find that, compared to training using relevance judgements created using human assessors, the click-through trained settings are as good and occasionally better.  ...  To obtain these parameter settings, quality training is usually required, where assessors have manually labelled the relevance of retrieved items for many queries.  ...  Acknowledgements We wish to thank Microsoft for providing the query and click-through logs studied in this work. We also wish to thank Ben He for his helpful comments. REFERENCES [1] E.  ... 
doi:10.1145/1507509.1507521 dblp:conf/wsdm/MacdonaldO09 fatcat:toz2aosyebbsfcomnl7xcwm4cm
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