A combination of graph based and cell based clustering techniques for big datasets
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A combination of graph based and cell based clustering techniques for big datasets
A COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets QUIREMENTSFOR THE DEGREE OF DOCTOR OF PHILOSOPHYIN INFORMATION TECHNOLOGYDEPARTMENT OF INFORMATION TECHNOLOGYGRADUATE COLLEGEKING MONGKUTS UNIVERSITY OF TECHNOLOGY NORTH BANGKOKACADEMIC YEAR 2016COPYRIGHT OF KING MONGKUTS UNIVERSITY OF TECHNOLOGY NORTH BANGKOKName: Mr.Duong Van llicuIhesis l illc: A A combination of graph based and cell based clustering techniques for big datasets Combmation of Graph-based and Cell-Based Clustering Techniques for Big DatasetsMajor Field: Information Technology (International Program) King MongkA combination of graph based and cell based clustering techniques for big datasets
ut’s University of Technology North BangkokThesis Advisor: Associate Professor Dr.Phayung MeesadAcademic Year : 2016AbstractBig dataset analysis is moA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets nologies and suitable algorithms. This study proposes a fast outlier detection algorithm for big datasets (Cell-RDOS) and two clustering algorithms for big datasets on a limited memory computer (Cell-MST-based and Weighted Cell-MST-based). The Cell-RDOS algorithm is a combination of cell-based algor A combination of graph based and cell based clustering techniques for big datasets ithms and a revised version of the rankingbased outlier detection algorithm with various depths (RDOS). The Cell-RDOS algorithm can produce the same rA combination of graph based and cell based clustering techniques for big datasets
esults compared to the RDOS algorithm, and reduce up to 99% executing time of the RDOS algorithm when working with big datasets. The proposed clusteriA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets orm many other algorithms in terms of less used memory, accuracy level, and speed, firstly. they can reduce up to 99% required memory size compared to the previous methods such as Similarity-based. Decision-theoretic Rough Set and MS 1-based algorithms.(Total 101 pages)Keywords : Big dataset, cell-b A combination of graph based and cell based clustering techniques for big datasets ased clustering, graph-based clustering, minimumspanning tree, outlier detection.Advisorii: uiuíniinuíh tfriiwiuvnil:niiHWMHaiuiwniiflnimnqiJijujiunnYA combination of graph based and cell based clustering techniques for big datasets
lwasriaaỉĩ 111 ĩu ỵa í0 XJ 0 u u 1 a ì 11 ĩỳ aiumì:ninĩi4Ĩauaiĩffwmrt(Mãngn?viin¥iă)uiiiiiwinơmnìwlnồĩnsoouiftnirnỉjun3iiiuo oisiiurJififiuniitnuYnjBMA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets azannfhihjnqn&HdivnblflwiufoijaijuiAlvtqj ĩnmnYnsoùnắhĩutíoyniíinaliiĩýìíitasnouldế-mỡynuonnỉpmíÌHnàonminniíM foyalunqirnan ìToynuonnquíiriìiỉtíiiĩluÃoiumĩiíuribuasii^líinoun^siliniĩítrìĩisấ ỲToyanqiinnn □iioiuwuBUiiiinuonifiiiniiijjino'iniJ^fti'oyauuinliiiy Iwiin 1) íunou TinisffaimoyauannqijQthmmn A combination of graph based and cell based clustering techniques for big datasets nanl) Cell-RDOS was 2) 4iJflOu5tni3fanqutfo»Jii 2 IB Cell-MST-based tins WeightedCell-MST-based dnnu^unouiBnuflUin-uojjnuonnq'ij Cell-RDOS iăwnnwiĩUHA combination of graph based and cell based clustering techniques for big datasets
ffii4ĩgini4iiìníin cell-based tins RDOS HnmiiBUYiuii Cell-RDOS WHanirfuMifouauonnqummjmifhriii RDOSIIUUIÂM nwamaifniiJmnawaaiiN 99% lurmiiinunuva^oijnA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets QD làanìTUuaouiBHUUẳíiAU lawn Similarity-based. Decision-theoretic Rough Set was MST-bascd ếiunnlíinhariìiuíìniiỡtiíìSiuuuiâỉiãi 99% antu^iufliiijQnAOj lunmanqu wasfiiiwnlunisdnuiiiwtitHJweniAn'hmmjmAu(iiwiwiiwBMiiuiwiuau 101 Mill)fliriimy : ^^oiJO-uuiflliiiU miỉíanquuuỊiuinín miiflnquuujiurTJid iii A combination of graph based and cell based clustering techniques for big datasets iihjniiiJu Ú 4 in fl ntfinintfo Hniwnnfj IJ_____________________________________________________0 n 1 ĩ ốíỉ n b lintnuii 14 í 11 aniiiACKNOWLEDGEMENTSA combination of graph based and cell based clustering techniques for big datasets
1 am greatly pleased to express my sincere thanks to the people who made this thesis possible. Ĩ am enormously grateful to Associate Professor Dr.PhayA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQ A combination of graph based and cell based clustering techniques for big datasets is.1 w ould like to express my thanks to teachers who have taught me during my Doctor of Philosophy in Information Technology program. I am indebted to their knowledge, helpful suggestions and valuable assistance throughout my study in Thailand.Thanks to the Decision 911/QD-TTg signed on 17/06/2010 A combination of graph based and cell based clustering techniques for big datasets by the Vietnamese Prime Minister (known as Project 911) and the Vietnam International Education Development Department (VIED) who supported scholarshiA combination of graph based and cell based clustering techniques for big datasets
p during my three years of Doctor Degree study in Thailand. Without their support, it would have been impossible for me to have a chance to finish my A COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQA COMBINATION OF GRAPH-BASED AND CELL-BASED CLUSTERINGTECHNIQUES FOR BIG DATASETSMR.DUONG VAN HIEUA THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQGọi ngay
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