Search Results - (( knowledge representation from algorithm ) OR ( java application customization algorithm ))
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1
Multi-Agent architecture towards the intelligent strategical algorithm for the representation and retrieval of tacit knowledge from healthcare distributed repositories
Published 2006“…Knowledge is deemed a key asset in today’s knowledge enriched society and such a ‘Knowledge Age’ has fuelled Knowledge Management discipline to address many complex problem issues pertaining to knowledge creation, procurement, representation, retrieval,capitalization, etc. …”
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2
Ball surface representations using partial differential equations
Published 2015“…Thus, this research develops an algorithm to generalise Ball surfaces from boundary curves using elliptic PDEs. …”
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3
Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg
Published 2006“…Thus, in order to provide better access to relevant knowledge, the knowledge of metabolic pathway should be conceptualized and formalized using appropriate knowledge representation technique. …”
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4
Optimized feature construction methods for data summarizations of relational data
Published 2014“…Many approaches have been developed to discover knowledge (i.e. useful information) from data stored in multiple tables in a relational database. …”
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5
Assessing the relationships between problem representation, capabilities and task performance fraud risk assessment by Nigerian deposit money banks' fraud investigators
Published 2021“…Results provide verifiable supports for twelve of the hypothesised relationships and seven deviations from previous literature. Knowledge and skills capabilities and fraud-related problem representation were significantly positively related to task-performance fraud risk assessment. …”
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6
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…The running system shows an OOP semantic knowledge representation by intelligent agents.…”
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A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts
Published 2026thesis::master thesis -
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Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images
Published 2014“…The high accuracy of object-based classification can be linked to the knowledge discovery produced by the DM algorithm. This algorithm increased the productivity of OBIA, expedited the process of attribute selection, and resulted in an easy-to-use representation of a knowledge model from a decision tree structure.…”
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Document classification based on kNN algorithm by term vector space reduction
Published 2023Conference Paper -
10
The design and implementation of Malaysian indigenous herbs knowledge management system based on ontology model
Published 2016“…This paper introduces the design and implementation of an Ontology-Based Malaysian Herbal Knowledge Based System (MiHerbs).The ontology model used in this research is based on a previous research with title, ’Malaysia Indigenous Herbs Knowledge Representation’.The research proposed an Ontology based knowledge representation model of Malaysian indigenous herbs using Web Ontology Language (OWL).The model can be used to encode and store knowledge in a “Knowledge Base” such as database, repository or library. …”
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11
A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
Published 2017“…The thesis main objective is to develop a new framework for social- and knowledge-based coalition formation (SKCF). The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of formed coalitions, and 3) to develop an effective algorithm to optimize the coalition which can also be treated as a clustering problem. …”
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12
A deep autoencoder-based representation for Arabic text categorization
Published 2020“…To overcome these shortcomings, we proposed a deep Autoencoder based representation for Arabic text categorization. It consisted of three stages: (1) Extracting from Arabic WordNet the most relevant concepts based on feature selection processes (2) Features learning via an unsupervised algorithm for text representation (3) Categorizing text using deep Autoencoder. …”
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13
Dissimilarity algorithm on conceptual graphs to mine text outliers
Published 2009“…The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between knowledge represented in the CGs.In this paper, we would like to present a dissimilarity algorithm to detect outliers from a collection of text represented with Conceptual Graph Interchange Format (CGIF).In order to avoid the NP-complete problem of graph matching algorithm, we introduce the use of a standard CG in the dissimilarity computation.We evaluate our method in the context of analyzing real world financial statements for identifying outlying performance indicators.For evaluation purposes, we compare the proposed dissimilarity function with a dice-coefficient similarity function used in a related previous work.Experimental results indicate that our method outperforms the existing method and correlates better to human judgements. …”
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14
A flexible query transformation framework for structured retrieval / Gan Keng Hoon
Published 2013“…Supporting this intermediate query representation are the query interpretation and query construction algorithms. …”
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15
Simulation on Emotion Recognition for Autism Therapy
Published 2017“…Deriving an effective facial representation from authentic face snap shots is an essential step for a success facial features reputation. …”
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Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong
Published 2016“…This high-level semantic representation serves to help bridge the dichotomy between the perceived software design from the maintainers’ view and the actual code structure. …”
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17
Rough sets for predicting the Kuala Lumpur Stock Exchange Composite Index returns
Published 2004“…There are extensive literatures available describing attempts to use artificial intelligence techniques; in particular neural networks and genetic algorithm for analyzing stock market variations.However, drawbacks are found where neural networks have great complexity in interpreting the results; genetic algorithms create large data redundancies.A relatively new approach, the rough sets are suggested for its simple knowledge representation, ability to deal with uncertainties and lowering data redundancies.In this study, a few different discretization algorithms were used at data preprocessing. …”
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18
Classification of stock market index based on predictive fuzzy decision tree
Published 2005“…In this research, another modification of Fuzzy Decision Tree (FDT) classification techniques called predictive FDT is presented that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. The intent is to exploit complementary advantages of both: ability to learn from examples, high knowledge comprehensibility of decision trees, and the ability to deal with uncertain information of fuzzy representation. …”
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19
Classification of Cardiac Disorders Based on Electrocardiogram Data with Fuzzy Cognitive Map (FCM) Algorithm Approach
Published 2021“…FCM itself is a form of knowledge representation, design elements, and algorithm de�scriptions that are included in the FCM Expert software. …”
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20
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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