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Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases [chapter]

Amir Bar-Or, Assaf Schuster, Ran Wolff, Daniel Keren
<span title="2005-04-21">2005</span> <i title="Society for Industrial and Applied Mathematics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/viwc2ys5x5a47ogpdlftfzj5fm" style="color: black;">Proceedings of the 2005 SIAM International Conference on Data Mining</a> </i> &nbsp;
In this paper, we consider the problem of inducing decision trees in a large distributed network of high dimensional databases.  ...  Current decision tree algorithms would require high communication bandwidth when executed on such data, which is not likely to exist in large-scale distributed systems.  ...  In this paper we describe a new distributed decision tree algorithm, Distributed Hierarchical Decision Tree (DHDT).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1137/1.9781611972757.42">doi:10.1137/1.9781611972757.42</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sdm/Bar-OrWSK05.html">dblp:conf/sdm/Bar-OrWSK05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ikywn5uv7nhfdjw76qv5fidqgu">fatcat:ikywn5uv7nhfdjw76qv5fidqgu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100615173830/http://siam.org/proceedings/datamining/2005/dm05_42barora.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/ca/a7ca8300099d5b27515c787641fa2ce5cccff48a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1137/1.9781611972757.42"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Hierarchical decision tree induction in distributed genomic databases

A. Bar-Or, D. Keren, A. Schuster, R. Wolff
<span title="">2005</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ht3yl6qfebhwrg7vrxkz4gxv3q" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
In this paper, we consider the problem of inducing decision trees in a large distributed network of genomic databases.  ...  Current decision tree algorithms require high communication bandwidth when executed on such data, which large-scale distributed systems.  ...  In this paper we describe a new distributed decision tree algorithm, Distributed Hierarchical Decision Tree (DHDT).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2005.129">doi:10.1109/tkde.2005.129</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rnn7y3567vgzjb7ul5sp2on73m">fatcat:rnn7y3567vgzjb7ul5sp2on73m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140802032245/http://www.cs.technion.ac.il:80/%7Eranw/papers/wolff05TKDE.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/51/ee51540242b3201422f6f1af41522d2228bec5eb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2005.129"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A CLUSTER ANALYSIS AND DECISION TREE HYBRID APPROACH IN DATA MINING TO DESCRIBING TAX AUDIT

Richa Dhiman, Sheveta Vashisht, Kapil Sharma
<span title="2005-06-30">2005</span> <i title="CIRWOLRD"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jh2yw2w72rbdreebtgswzt7fkq" style="color: black;">INTERNATIONAL JOURNAL OF COMPUTERS &amp; TECHNOLOGY</a> </i> &nbsp;
This comparison is able to find clusters in large high dimensional spaces efficiently. It is suitable for clustering in the full dimensional space as well as in subspaces.  ...  Clustering method will use for make the clusters of similar groups to extract the easily features or properties and decision tree method will use for choose to decide the optimal decision to extract the  ...  This research combine clustering technique which is based on a supervised learning technique called decision tree construction, find clusters in large high dimensional spaces efficiently and improve the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24297/ijct.v4i1c.3111">doi:10.24297/ijct.v4i1c.3111</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mid4jjeomffwnbhvepxc56lyfm">fatcat:mid4jjeomffwnbhvepxc56lyfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220224212017/https://rajpub.com/index.php/ijct/article/download/3111/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1f/77/1f77ab91ef8a5ffa28692e129f88cb1bb06e459d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24297/ijct.v4i1c.3111"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Decision Tree Induction & Clustering Techniques In SAS Enterprise Miner, SPSS Clementine, And IBM Intelligent Miner A Comparative Analysis

Abdullah M. Al Ghoson
<span title="2011-01-05">2011</span> <i title="Clute Institute"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x2k7p4g6cnbjrmlbutikszrp64" style="color: black;">International Journal of Management &amp; Information Systems</a> </i> &nbsp;
Decision tree induction and Clustering are two of the most prevalent data mining techniques used separately or together in many business applications.  ...  decision tree inductions [3] .  ...  For decision tree induction, it provides tree diagram that contains root, nodes, and leafs. The tree diagram explains decision tree"s rules.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19030/ijmis.v14i3.841">doi:10.19030/ijmis.v14i3.841</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r3ynp27de5blnog66ysalwksd4">fatcat:r3ynp27de5blnog66ysalwksd4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427001352/https://clutejournals.com/index.php/IJMIS/article/download/841/825" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5c/dc/5cdcec4b0abad29e70a15ed10b17a2411e67e0c1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19030/ijmis.v14i3.841"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Explainable Artificial Intelligence Model for Clustering Numerical Databases

Octavio Loyola-Gonzalez, Andres Eduardo Gutierrez-Rodriguez, Miguel Angel Medina-Perez, Raul Monroy, Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa, Milton Garcia-Borroto
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Hence, in this paper, we introduce a clustering based on decision trees (eUD3.5), which builds several decision trees from numerical databases.  ...  INDEX TERMS Explainable model, clustering, unsupervised decision trees, numerical databases.  ...  An unsupervised decision tree represents a hierarchical clustering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2980581">doi:10.1109/access.2020.2980581</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7v626y53ivh6rbdz62euvbt7ru">fatcat:7v626y53ivh6rbdz62euvbt7ru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108044555/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09035478.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/0b/900bf60eb2fcef7af681cf9c0542551d98f3ecc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2980581"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Construction of Decision Tree for Insurance Policy System through Entropy and Gini Index

Narander Kumar, Vishal Verma, Vipin Saxena
<span title="2013-05-17">2013</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
After calculation of entropy and GINI Index, a decision tree of sample data of an insurance company is presented. Gain (income tax) = Info(D) -Info income ( D)  ...  In the modern age of computing, sparse and irregularity in a sample of data is needed for reconstruction of the large and different types of dimensions of data.  ...  Decision trees can handle high dimensional data. Their representation of acquired knowledge in tree form in intuive and generally easy to assimilate by humans.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/11924-7699">doi:10.5120/11924-7699</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfyzbz5ocrahlabmuld7tccjs4">fatcat:bfyzbz5ocrahlabmuld7tccjs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602061525/https://research.ijcaonline.org/volume70/number1/pxc3887699.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/15/2e1582051ae5349513a8d3778dd8842cc04a13bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/11924-7699"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Survey on Big Data Mining Algorithms

Anushree Raj
<span title="2019-06-30">2019</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
Technology revolution has been facilitating millions of people by generating tremendous data, resulting in big data.  ...  Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences.  ...  In decision tree induction algorithms, tree structure has been widely used to represent classification models.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.6234">doi:10.22214/ijraset.2019.6234</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dgcttowerjdkxhu334janvz5z4">fatcat:dgcttowerjdkxhu334janvz5z4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213222747/http://ijraset.com/fileserve.php?FID=23869" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/df/50dfa98c92adc1f839e8686073a10ef1d1a725a8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.6234"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Hadoop based Feature Selection and Decision Making Models on Big Data

Thulasi Bikku, N. Sambasiva Rao, Ananda Rao Akepogu
<span title="2016-03-18">2016</span> <i title="Indian Society for Education and Environment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wffwpj3q45g5zfjzfeyagk5uea" style="color: black;">Indian Journal of Science and Technology</a> </i> &nbsp;
It becomes computationally inaccurate to analyze such big data for decision making systems.  ...  However, a large part of the data produced today are incomplete and inaccurate, so large organizations prefer relational databases to store their information, but the user query processing speed is very  ...  The MapReduce framework supports high dimensional datasets, partitions them into smaller sets and distributes them to different cloud clusters for computation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2016/v9i10/88905">doi:10.17485/ijst/2016/v9i10/88905</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2h6kz3u6qzf5xgt2coshk6sgqi">fatcat:2h6kz3u6qzf5xgt2coshk6sgqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428212317/http://www.indjst.org/index.php/indjst/article/download/88905/67963" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2016/v9i10/88905"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Parallel and Distributed Data Mining: An Introduction [chapter]

Mohammed J. Zaki
<span title="">2000</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Due to the huge size of data and amount of computation involved in data mining, high-performance computing is an essential component for any successful large-scale data mining application.  ...  The explosive growth in data collection in business and scientific fields has literally forced upon us the need to analyze and mine useful knowledge from it.  ...  We hope that this volume, representing the state-of-the-art in parallel and distributed mining methods, will be successful in bringing to surface the requirement and challenges in large-scale parallel  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-46502-2_1">doi:10.1007/3-540-46502-2_1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3mmcofbadbas7f7r5y5opxxwdy">fatcat:3mmcofbadbas7f7r5y5opxxwdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830045009/http://dml.cs.byu.edu/~cgc/docs/atdm/Readings/DistributedDM.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c8/fa/c8fae16c257620484c8be2236bd26a27b912b85e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-46502-2_1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Analysis of Prediction Techniques based on Classification and Regression

Pinki Sagar, Prinima P., Indu I.
<span title="2017-04-17">2017</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. classification is a general process related to categorization, the process in  ...  Moves on to cover topics such as knowledge discovery, query language, classification and Prediction, decision tree induction, cluster analysis, and how to mine the Web.  ...  Various types of classification models are: • Classification by decision tree induction • Bayesian Classification • Neural Networks  Each tuple that constitutes the training set is referred to as a  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2017913623">doi:10.5120/ijca2017913623</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y6grdjlpvba4njb6h7ryt73gam">fatcat:y6grdjlpvba4njb6h7ryt73gam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604025556/https://www.ijcaonline.org/archives/volume163/number7/sagar-2017-ijca-913623.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/78/e47856103eba21f53be6fb0b1a462dfcc1f2b07f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2017913623"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Driver's Facial Expression Recognition in Real-Time for Safe Driving

Mira Jeong, Byoung Chul Ko
<span title="2018-12-04">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
These feature vectors are then implemented in the proposed hierarchical WRF classifier to classify facial expressions.  ...  However, as DNN-based FER approaches require an excessive amount of memory and incur high processing costs, their application in various fields is very limited and depends on the hardware specifications  ...  In the training task, an RF decision tree extracts a subset from the training sample data using bagging. A binary decision tree is grown in a top-down induction, beginning with the root node.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18124270">doi:10.3390/s18124270</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30518132">pmid:30518132</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f52hwcezt5ep3coox6egdcokn4">fatcat:f52hwcezt5ep3coox6egdcokn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503115201/https://res.mdpi.com/sensors/sensors-18-04270/article_deploy/sensors-18-04270-v2.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/2d/9e2d2d0392d8a2ae92509ecb687902929c6c22e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18124270"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

An Analytic Survey On Current Clustering Technique of data Categorizing and Retrieving

Snehlata Bhadoria, U. Datta
<span title="2016-05-20">2016</span> <i title="Valley International"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7itxqhdltnewtn4ueymnlhnkea" style="color: black;">International Journal Of Engineering And Computer Science</a> </i> &nbsp;
in this survey we have a furnished detail of Clustering.  ...  Clustering is not only bounded in boundary of grouping of same kind of objects in cluster, it would also be like to get or retrieve specific data by just analyzing clustering approach.  ...  The most frequently used induction methods are decision trees and neural networks. a. Decision Trees.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18535/ijecs/v5i5.28">doi:10.18535/ijecs/v5i5.28</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xvkbvfwnq5dunozo5oerk7bhhu">fatcat:xvkbvfwnq5dunozo5oerk7bhhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602184705/http://ijecs.in/issue/v5-i5/28%20ijecs.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1f/34/1f345d24ab3b99a6bc1fcedb6a2c6a543ff6e74e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18535/ijecs/v5i5.28"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Application based, advantageous k-means algorithm

<span title="">2016</span> <i title="S N Education Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ateltibzivfprkxgdebcbpromm" style="color: black;">International Journal of Latest Trends in Engineering and Technology</a> </i> &nbsp;
Different levels of analysis are available like genetic algorithms, artificial neural networks, decision trees, rule based induction methods and data visualization.  ...  This paper focuses on the advantages in applications like market segmentation, in big data applications, real world problems like road detection, DNA gene expression and internet news group and elegant  ...  We are looking forward to take this review paper by bringing to notice the loop holes of K-means clustering algorithms and suggesting improvements in K-means clustering and other clustering algorithms.  ... 
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Graphical Representation and Exploratory Visualization for Decision Trees in the KDD Process

Wilson Andres Castillo Rojas, Claudio Meneses Villegas
<span title="">2012</span> <i title="IEEE"> 2012 IEEE Ninth Electronics, Robotics and Automotive Mechanics Conference </i> &nbsp;
This article presents a proposal of representation and scheme of exploratory visualization for Decision Trees in the KDD (Knowledge Discovery in Database) process, specifically in the data mining stage  ...  This exploratory visualization is based on the well-known technique named Treemap (maps of trees) that allows representing hierarchical structures like the Decision Trees, being used grids to represent  ...  Nomenclature DT Decision Tree DM Data Mining KDD Knowledge Discovery in Database Visual Representations of Decision Trees In DM, DTs deliver patterns induced from a data set, however these are not  ... 
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Graphical representation and exploratory visualization for Decision Trees in the KDD process

Wilson Andres Castillo Rojas, Claudio Meneses Villegas
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/flpcnttmynfzdhav7oc5u77dcq" style="color: black;">2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI)</a> </i> &nbsp;
This article presents a proposal of representation and scheme of exploratory visualization for Decision Trees in the KDD (Knowledge Discovery in Database) process, specifically in the data mining stage  ...  This exploratory visualization is based on the well-known technique named Treemap (maps of trees) that allows representing hierarchical structures like the Decision Trees, being used grids to represent  ...  Nomenclature DT Decision Tree DM Data Mining KDD Knowledge Discovery in Database Visual Representations of Decision Trees In DM, DTs deliver patterns induced from a data set, however these are not  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/clei.2012.6427162">doi:10.1109/clei.2012.6427162</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/clei/RojasV12.html">dblp:conf/clei/RojasV12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6n5gfanvdfauzpu52atnhkufme">fatcat:6n5gfanvdfauzpu52atnhkufme</a> </span>
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