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similarity detection

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... measuring similarity detection of Indonesian language documents using synonyms factor for more than one page document and the processing speed ...the similarity of existing documents with other ...

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Query Algorithm to Reduce the Time Overhead of Similarity Detection

Query Algorithm to Reduce the Time Overhead of Similarity Detection

... file similarity cannot be recognized by this ...similarity detection. Therefore, it is a best approach to recognize the similarity in the ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... We have demonstrated a guide coupling effect to the cavity (lateral coupling). In particular, in the case where we inject a mode at the input of the waveguide, a portion of light is extracted to a loss cavity mode. To ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... Web-based learning comprises of content in web browser plus activities, and actual learning materials available in format in the web. As indicated by Tsai and Machado [22], web-based learning shares similarity ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... Based on previous research, this research proposes an edge detection algorithm in color images based on the quantum superposition principle. Each pixel of the image will be mapped into qubits in value of 0, 1, or ...

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Singularity and similarity detection for signals using the wavelet transform

Singularity and similarity detection for signals using the wavelet transform

... The detection and analysis of these singularities and similarities have therefore attracted increasing interest in recent years, and many approaches including wavelet techniques have been proposed [3]-[6], [9], ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... Embedded systems (ES) become available anywhere and anytime as an established part of our daily routines. Their usage in sense, store, process, and transfer our personal and private data, such as ATM card, modern cars ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... In the RACARP protocol, each SU sets a timer for every specific time to sense a PU activity. During data transmission, if a SU detects a PU activity, it is unable to transmit a data packet through the channel which ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... From the perspective of detection and prevention SQLIAs. Almost all of the techniques or approaches can effectively detect and prevent of the SQLIAs are [15], [16], [17], [18], [19], [20], [21], [22], [24], [26], ...

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Calibration of source code similarity detection tools for objective comparisons

Calibration of source code similarity detection tools for objective comparisons

... Another problem is that even if published research states the parameters, one could ask what the best configuration is. Ragkhitwetsagul et al. [11] tried to solve this by searching for the optimal configurations for 30 ...

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DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

DOCUMENT SIMILARITY DETECTION USING SYNONYMS FACTOR AND PARALLEL PROCESSING

... collision detection and other useful components like sound, scripting, animation, artificial intelligence, networking, streaming, memory management, threading, localization support, and a scene ...

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Deduplication Detection for Similarity in Document Analysis Via Vector Analysis

Deduplication Detection for Similarity in Document Analysis Via Vector Analysis

... We benchmarked the models on two document similarity data sets, one from Wikipedia, one from arXiv. We observe that the Paragraph Vector method performs significantly better than other methods, and propose a ...

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Web graph similarity for anomaly detection

Web graph similarity for anomaly detection

... graph similarity to help mea- sure the amount and significance of changes in the evolving ...five similarity schemes: three of them we adapted from existing graph similarity measures, and two we ...

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Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry

Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry

... Following in this vein, we offer a method to ex- plore poetic tropes, i.e. word pairs such as ‘love (is) magic’ that gain association strength (cosine similarity) over time, finding that most are gain- ing ...

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Text Reuse Detection using a Composition of Text Similarity Measures

Text Reuse Detection using a Composition of Text Similarity Measures

... the detection of journalistic text reuse (Clough et ...Near-duplicate detection is also a broad field of related work where the detection of text reuse is crucial, ...

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Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection

Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection

... metaphor detection is trained to- gether with an unsupervised objective, allowing the system to take better advantage of unlabeled data while still learning to separate ...

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Tanimoto Based Similarity Measure for Intrusion Detection System

Tanimoto Based Similarity Measure for Intrusion Detection System

... which are measurably different from the normal behavior. The system call sequences of normal instances are used as the training set. Though anomaly-based IDS can de- tect unknown attacks, it suffers from having unaccept- ...

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AN OPTIMIZED TECHNIQUE FOR DUPLICATE DETECTION IN XML DATA

AN OPTIMIZED TECHNIQUE FOR DUPLICATE DETECTION IN XML DATA

... Duplicate detection means detecting multiple representations of a same object and also for every object represented in a ...Duplicate detection is important in data cleaning and data integration ...

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Optimizing Story Link Detection is not Equivalent to Optimizing New Event Detection

Optimizing Story Link Detection is not Equivalent to Optimizing New Event Detection

... link detection system and a new event detection ...Clarity similarity measure was more ef- fective for LNK, Hellinger similarity measure was more effective for NED, part-of-speech was more ...

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Malicious Domain Detection Based on Traffic Similarity

Malicious Domain Detection Based on Traffic Similarity

... In the simulation environment, the experiment changes the time of the communication frequency and DGA algorithm at the same time. Also we make the proposed technique deal with the traffic provided by the botnet ...

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