Search Results - (( java implication drops algorithm ) OR ( structure representation using algorithm ))
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1
Application Of Exact String Matching Algorithms Towards SMILES Representation Of Chemical Structure.
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2
Combinatorial structure associated with low-dimensional filiform leibniz algebras
Published 2017“…Besides that, an algorithm will be used on association the combinatorial structures with the isomorphism classes of FLbn(K) and SLbn(K). …”
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3
Image matching using relational graph representation
Published 2005“…This study presents an image matching technique using the structural descriptions of image. Structural descriptions are consist of lines and interline relationship in the line-extracted image. …”
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4
Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…This research combines the ontology and text representation for classification by developing five algorithms. …”
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5
Compact structure representation in discovering frequent patterns for association rules
Published 2002“…Flex-tree structure is a lexicographic tree which finds frequent patterns by using depth first search strategy. …”
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6
Evaluation of Visual Network Algorithms on Historical Documents
Published 2020“…The evaluation found that FA2 algorithm when combined with MC algorithm produce the best network representation for SAGA. …”
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7
The design and implementation of a two and three-dimensional triangular irregular network based GIS
Published 2000“…The impediments which relate to spatial data especially data representation, data structuring and datamodelling using object-oriented (OO) techniques are the foci of this thesis. …”
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8
Protein Conformantional Search Using Bees Algorithm
Published 2008“…To this end, an energy function is used to calculate its energy and a conformational search algorithm is used to search the conformational search space to find the lowest free energy corformation.…”
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9
Compact structure representation in discovering frequent patterns for association rules
Published 2002“…Flex-tree structure is a lexicographic tree which finds frequent patterns by using depth first search strategy. …”
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10
A flexible query transformation framework for structured retrieval / Gan Keng Hoon
Published 2013“…Its main strength is to allow the transformation to be generic to cater for more than single type of structure query. Supporting this intermediate query representation are the query interpretation and query construction algorithms. …”
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11
Single parent mating in genetic algorithm for real robotic system identification
Published 2023“…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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12
Computing irreducible representations of two-generator groups
Published 2009“…A totally different approach is used. A new structure is revealed such that base cases exist and other groups within the type are central extension. …”
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Monograph -
13
Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
Published 2014“…The NARMAX model and its derivatives (Nonlinear Auto-Regressive with Exogenous Inputs (NARX) and Nonlinear Auto-Regressive Moving Average (NARMA)) are powerful, efficient and unified representations of a variety of nonlinear models. The identification process of NARX/NARMA/NARMAX involves structure selection and parameter estimation, which can be simultaneously performed using the widely accepted Orthogonal Least Squares (OLS) algorithm.…”
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14
Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
Published 2014“…The algorithm searches the solution space by selecting various model structures and evaluating its fitness. …”
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15
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Query languages are largely used to compose structured queries by users to extract data from XML documents. …”
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16
Identifying the influential spreaders in multilayer interactions of online social networks
Published 2016“…The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.…”
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17
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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18
Frequent itemset mining in high dimensional data: a review
Published 2019“…This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation. …”
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Proceeding Paper -
19
Enhancement of {0, 1, 3}-NAF Recoding Algorithm using Block Method Technique for Elliptic Curve Cryptosystem
Published 2015“…To enhance the reliability of results the average of each run has been calculated and used. The result from the input data yielded the following results: The proposed algorithm has overall 86% speed up in comparison to the base algorithm. …”
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20
Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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