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Grafting for combinatorial binary model using frequent itemset mining

Taito Lee, Shin Matsushima, Kenji Yamanishi
2019 Data mining and knowledge discovery  
The key idea of GRAB is to adopt weighted frequent itemset mining for the most time-consuming step in the grafting algorithm, which is designed to solve largescale L 1 -RERM problems by an iterative approach  ...  We consider the class of linear predictors over all logical conjunctions of binary attributes, which we refer to as the class of combinatorial binary models (CBMs) in this paper.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution  ... 
doi:10.1007/s10618-019-00657-9 fatcat:yhj76nejxzcgte27lzybuqos4u

Grafting for Combinatorial Boolean Model using Frequent Itemset Mining [article]

Taito Lee, Shin Matsushima, Kenji Yamanishi
2017 arXiv   pre-print
The key idea of GRAB is to reduce the loss minimization problem to the weighted frequent itemset mining, in which frequent patterns are efficiently computable.  ...  This paper introduces the combinatorial Boolean model (CBM), which is defined as the class of linear combinations of conjunctions of Boolean attributes.  ...  CONCLUSION In this paper we proposed GRAB that is an algorithm for learning combinatorial boolean models (CBM). e key idea of GRAB was to incorporate the techniques of frequent itemset mining with the  ... 
arXiv:1711.02478v2 fatcat:52qegzbssngkvf3epu2qlz6vfy

Big Data in Health Care using Frequent Set Extraction

K. Uma, D. Kannan, S. Vikas, S. Sree Dharinya
2017 Indian Journal of Science and Technology  
It will examine for all records which are not at altogether used and wanted by the consumer.  ...  In this mission, the website is working to find the available frequent stuff using the procedure called APRIORI.  ...  Searching frequent itemset is not unimportant because of this one combinatorial blast.  ... 
doi:10.17485/ijst/2017/v10i17/114477 fatcat:panxioy6dbgyxfgl4t2agoe3vu

Welcome Message from the General Chair

2006 International Conference on Dependable Systems and Networks (DSN'06)  
We are grateful to all members of these committees for their time and efforts.  ...  In all three occasions, the Canadian Databases community served as backbone for the organizing and the programme committees.  ...  contents presented in this document would not have been available to the attendees of the VLDB conference without the contributions of Mike Godfrey (MG) and Dave Wortman (DW), who compiled similar guides for  ... 
doi:10.1109/dsn.2006.75 dblp:conf/dsn/X06 fatcat:k4duddvbk5glboxkqxkkfsh4p4

Discriminating Between Closely Related Languages on Twitter

Anton Železnikar, Nikola Ljubeši´cljubeši´c, Denis Kranjči´kranjči´c
2015 unpublished
We show that by using a simple bag-of-words model, univariate feature selection, 320 strongest features and a standard classifier, we reach user classification accuracy of ∼98%.  ...  Acknowledgements The authors wish to thank Airenas Vaiciunas from the Department of Applied Informatics at Vytautas Magnus University (Lithuania) for his useful comments about SLMs and also to Semantia  ...  Lab ( for supporting the logistic of this research.  ... 

Modern Applied Science, Vol. 3, No. 2, February 2009, all in one file

Editor MAS
2009 Modern Applied Science  
In the first part of study, the effects of UV and TiO 2 on two antibiotics using the UV-water flow system (UVWFS) were examined.  ...  In second part of the study, three (15, 42 and 80 cc/min) water flow rates were employed using UVWFS maintaining same UV and TiO 2 dose 0.1 g/l to ascertain the effect of water flow rate in the antibiotic  ...  The results emphasise that for adsorption from surfactant mixtures, it is necessary to take into account the changes in the CMC with changes in composition.  ... 
doi:10.5539/mas.v3n2p0 fatcat:4bjvcqfu5jg7bbzxcjoq477gcy