Search Results - (( using summarization based algorithm ) OR ( java equalization based algorithm ))
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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An Algorithm for Summarizing Strategies Identification
Published 2008“…Unfortunately, students do not acquire the summarization skills. Thus, this paper proposed an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. …”
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An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies
Published 2016“…We then implemented the algorithm for the automated summarization assessment system that can be used to identify the summarizing strategies used by students in summary writing.…”
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A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
Published 2009“…This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…The experimental results show that the predictive accuracy of classifying data that are summarized based on VLFCWS method using Total Cluster Entropy combined with Information Gain (CE-JG) as feature scoring outperforms in most cases.…”
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Research Report -
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Application-Programming Interface (API) for Song Recognition Systems
Published 2024“…An approach capable of recognizing an audio piece of music with an accuracy equal to 90% was further tested based on this result. …”
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Optimized feature construction methods for data summarizations of relational data
Published 2014“…DARA transforms the data relational representation into a vector space representation and a clustering process is applied to group the data based on their characteristics similarity. The summarized data will then be fed to any classification algorithm to perform the classification task. …”
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Using Heuristic Rules from Sentence Decomposition of Experts' Summaries to Detect Students' Summarizing Strategies
Published 2008“…This paper reports on our effort to develop a computer-based summarization assessment system that detects the strategies used by the students in producing their summaries. …”
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Dimensionality reduction in data summarization approach to learning relational data
Published 2013“…This involves the task of finding the best set of relevant features used to summarize the data, in which the feature selection processed is performed based on the magnitude of terms computed earlier. …”
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Book -
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A review of object detection in traffic scenes based on deep learning
Published 2024“…It introduces techniques for optimizing object detection algorithms, summarizes commonly used object detection datasets and traffic scene datasets, along with evaluation criteria, and performs comparative analysis of the performance of deep learning algorithms. …”
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Evolutionary-based feature construction with substitution for data summarization using DARA
Published 2012“…The experimental results show that there is an improvement of predictive accuracy for classifying data summarized based on FLFCWS approach which indirectly improves the descriptive accuracy of the summarized data. …”
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Conference or Workshop Item -
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Message based random variable length key encryption algorithm.
Published 2009“…In order to overcome analysis mentioned above a new algorithm is designed that is based on random numbers and also can defeat time and memory constraints. …”
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…A ensemble clustering is designed, used and evaluated to generate the final classification framework that will take all input generated from the GA based clustering with Feature Selection and Feature Construction algorithms and perform the classification task for the relational datasets. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…However, it is found that the static assumption of the data summarization impacts the quality of clustering. To fill this gap, an online clustering algorithm for handling evolving data streams using a tempo?…”
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Semantic based Text Summarization for Single Document on Android Mobile Device
Published 2012“…In this research, a semantic and syntactic based summarization is implemented in a text summarizer to solve the overload problem whilst providing a more coherent summary. …”
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Final Year Project -
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Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining
Published 2023“…Most text summarization research mainly uses co-selection based analysis to evaluate the summary result. …”
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Multi-document text summarization using text clustering for Arabic Language
Published 2014“…In the second step we applied the K-means algorithm with cosine similarity in our experimental to select the best cluster based on cluster ordering by distance performance. …”
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