Honkong‚ China e-mail: qyang@cs.ust.hk H. Motoda AFOSR/AOARD and Osaka University‚ 7-23-17 Roppongi‚ Minato-ku‚ Tokyo 106-0032‚ Japan e-mail: motoda@ar.sanken.osaka-u.ac.jp 123 2 X. Wu et al. clustering‚ statistical learning‚ association analysis‚ and link mining‚ which are all among the most important topics in data mining research and development. 0 Introduction In an effort to identify some of
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current dissertation work‚ background knowledge derived from WordNet as ontology is applied during preprocessing of documents for document clustering. Document vectors constructed from WordNet synsets is used as input for clustering. Comparative analysis is done between clustering using k-means and clustering using bi- secting k-means. A document Categorization tool is developed which summarizes the hierarchy of concepts obtained from WordNet during clustering phase. GUI tool contains the association
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Use K-Means for Clustering 1. Dataset For this tutorial‚ we will work on some unlabeled data from the US Census Bureau. The following introduction to this dataset is for you to learn about its attributes and interpret results: Attributes of the raw data is discretized to have less attribute values‚ which is the data we are seeing now. Attributes description of the raw data attributes is at: http://archive.ics.uci.edu/ml/databases/census1990/USCensus1990raw.attributes.txt Some attributes are kept
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DETERMINATION OF ABCESSION SIZE USING DIGITAL IMAGE PROCESSING TO AIDE ENDODONTIC THERAPY Karthikeyan Karunakaran‚ Nikil Ravi‚ Srinevasan MS Abstract-- Endodontic therapy is a treatment where the infected tooth s cavity is removed completely and filled with gutta-percha .During this therapy the size of the abscission in the root apex is important. If the abscission size is small the dentists call them lesion which can be easily removed during the therapy itself. But if it is large‚ the therapy
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appraisals (PA) on three human resource management outcomes ( job satisfaction‚ organisational commitment and intention to quit). Design/methodology/approach – Using data from 2‚336 public sector employees clusters of PA experiences (low‚ mixed and high) were identified. Regression analysis was then employed to examine the relationship between low quality PA experiences and job satisfaction‚ organisational commitment and intention to quit. Findings – Employees with low quality PA experiences
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in Computational Sciences and Technology‚ Volume 4 Number 1pp [8] Ahmed‚ Mohamed N.; Yamany‚ Sameh M.; Mohamed‚ Nevin; Farag‚ Aly A.; Moriarty‚ Thomas (2002) [9] Nock‚ R. and Nielsen‚ F. (2006) "On Weighting Clustering"‚ IEEE Trans. on Pattern Analysis and Machine Intelligence‚ 28 (8)‚ 1–13 [10] Bezdek‚ James C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. ISBN 0-306- 40671-3 [11] A. Pentland‚ R.W. Picard‚ and S. Sclaroff‚ (1994)‚ “Photobook: Tools for Content-Based
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0 0 0 0 0 3 3 3 3 3 1 MA9219 OPERATIONS RESEARCH LTPC 3104 UNIT I QUEUEING MODELS 9 Poisson Process – Markovian Queues – Single and Multi-server Models – Little’s formula – Machine Interference Model – Steady State analysis – Self Service Queue. UNIT II ADVANCED
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There are different attributes and factors which are under the influence of target market for the services which the subway offers to its market. Here many variables influence the market segmentation for “sub of the day”. Coming to the segmentation strategy it is essential to know what the customer is considering from the services provided by the subway. The segmentation strategies can be described more effectively in many different variables which results in the marketing segmentation‚ there are
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Recognition”‚ International Symposium on Communications and Information Technologies‚ pp:946-949‚ 2010 [6]Igor Kleiner‚ Daniel Keren‚ Llan Newman‚ Oren Ben-Zwi‚“Applying property testing to an image partitioning problem”‚ IEEE Transactions On Pattern Analysis And Machine Intelligence‚ Vol. 33‚ No.2‚ 2011 [7]Sanghamitra Mohanty‚ Himadri Nandini Dasbebartta‚ Tarun Kumar Behera‚ “An Efficient Bilingual Optical Character Recognition(English-Oriya) System for Printed Documents”‚ Seventh International Conference
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moderate increase in the number of parallel processes (in visitors’ browsers) leads to a dramatic decrease of clustering time. This demonstrates great potentials in supporting large-scale Scatter/Gather interactions on the web. We present preliminary analysis of clustering effectiveness and a related Scatter/Gather prototype for web search. Keywords text clustering‚ Scatter/Gather‚ distributed computing‚ parallel clustering‚ browser server‚ Javascript‚ interactive information retrieval‚ exploratory
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