[PDF] Top 20 Agent for Documents Clustering using Semantic based Model and Fuzzy
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Agent for Documents Clustering using Semantic based Model and Fuzzy
... Nowadays, the internet has become the largest data repository, facing the problem of information overload. In the same time, more and more people use the World Wide Web as their main source of information. The existence ... See full document
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Enhanced Weight Based Convolutional Neural Network (EWCNN) and Fuzzy Clustering For Semantically Rich Multi Label Social Emotion Classification
... Optimization based Sparse Encoding (MBO-SC), their effectiveness on emotion classification requires further investigation, was the basic contribution of this ...two documents was done by Fuzzy ... See full document
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Clustering Chinese Documents Based on HybridDT and LDA Model
... FC clustering show that: (1)The IDF function in TFIDF weighting algorithm is essentially a weighted processing method for noise suppression, which enables the VSM model to mine the text surface information ... See full document
6
Structural Clustering Multimedia Documents: An Approach based on Semantic Sub graph Isomorphism
... brain model brain [2], used ...is based on a matching one-to-many (one region of the image model can correspond to several regions of the medical ... See full document
8
Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology
... document clustering and information ...document clustering has been reviewed in this ...approach based on the semantic features and key ...retrieve documents from large set of document ... See full document
6
Automatic Semantic Content Extraction in Videos Using a Fuzzy .Ontology and Rule-Based Model
... data model, which gives the client the aptitude to create ontology- supported fuzzy ...database model for video (DAMVO) provides automatic object, event and concept ...With using instruction ... See full document
5
Analysis of Customer Churn by Big Data Clustering
... and clustering techniques based on both supervised and unsupervised learning models were ...Data clustering algorithm called semantic-driven subtractive clustering method (SDSCM) [1] ... See full document
6
Ascertaining Hidden Semantics in Web Documents using Fuzzy Clustering by Feature Matrix Approach
... of fuzzy logic clustering the e- Learning domain. It employs fuzzy insinuation mechanisms, reminiscence cycle updates, apprentice preferences and systematic hierarchy ...By using fuzzy ... See full document
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Semantic Segmentation and Object Detection Based On Active Contour Model and Fuzzy Clustering
... other clustering methods is that they require high computational time to cluster pixels in high-resolution ...of clustering techniques in ...the clustering. In our study, we followed the bock-wise ... See full document
128
Data Dimension Reduction for Clustering Semantic Documents using SVD Fuzzy C Mean (SVD FCM)
... reduction based on a singular value decomposition (DPDR/QR) ...XML documents on a vector space ...DDR based on the SVD decomposition and the DDR ... See full document
6
An intrusion detection method for internet of things based on suppressed fuzzy clustering
... trained using the greedy algorithm, and low dimension expressions of the RBM network output were classified downwards using the back propa- gation algorithm ...posed model shows improved accuracy of ... See full document
7
Knowledge based Semantic Clustering
... Pew. Based on a phone interview of 1700 participants, 6% of the respondents were “regular podcast downloader’s” leading to an estimate that 6% of US Adults, or around 9 million Web users had downloaded podcasts in ... See full document
8
ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... markov model (HMM) plays an important ...statistical model of both the static properties of sounds and the dynamical changes that occur across ...are based on ... See full document
6
Semantic Based Document Clustering Using Lexical Chains
... document based on disambiguated core semantic features extracted and exploits the characteristics of lexical chain based on ...words based on the modified similarity approach and finally the ... See full document
7
A Small Scale Exploratory Study on Diabetes Management by Integration of Personalized Healthcare Pathways in an ICT Platform
... techniques based on the guidelines and decision support services that enhance and optimize patient care and the quality of medical care by incorporating recommendations for specific conditions in the design of ... See full document
8
Validated Agent-Based Model using Predictive Data Mining and Intervention Policy Testing Framework: A Case Study in Child Vehicle Safety
... which model was correct. A new calibration method is introduced, which is based on conjoint analysis that incorporate real world data into market based ...for agent-based marketing ... See full document
109
Determining the multi-current sources of magnetoencephalography by using Fuzzy Topographic Topological Mapping
... inverse model of FTTM2 in detail. This involves the use of a clustering algorithm known as fuzzy c-means (FCM) that is used to cluster the data into foreground and background ...seed- based ... See full document
56
Thematic clustering of text documents using an EM-based approach
... thematic clustering algorithm can be uti- ...well clustering is done on this MED- LINE data because no gold standard is ...calculated using the hypergeometric distribution [25]. If documents ... See full document
13
Big Data and Machine Learning in Government Projects: Expert Evaluation Case
... and clustering, and then to relate experts to corresponding areas of expertise and rank them according to their proficiency in certain areas of expertise, the Expert Hub approach uses the data from the Di- ... See full document
13
Going Concern Prediction of Iranian Companies by Using Fuzzy C Means
... regression model) [12], especially, the logit ...probit model as- sumed that the cumulative probability distribution must be standardized normal distribution, while the logit model assumed that the ... See full document
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