Similarity Comparison with Subsequence Matching Algorithms
Efficient Subsequence Matching with LCS
... with subsequence matching of a single channel time series and then extend it to subsequence matching of a multivariable time ...sequence matching problem has two major components: whole ...
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Exploiting subsequence matching in Recommender Systems
... In this scenario, some researchers are using the so-called context information to train the recommendation algorithms to adapt better to the user needs. In the end, making good recommendations entail the success ...
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Efficient algorithms for local forest similarity and forest pattern matching
... The score matrix file is significant such that results can be different by using different score matrix for the same forests. In our experiments, we use the same score matrix to test our algorithm. As shown in figure ...
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Graph Matching Algorithms for Business Process Model Similarity Search
... performance. Similarly we found that a ratio pruneat/pruneto = 0.1 is sufficient, larger ratios do not significantly improve the outcome. Accordingly, we settled for pruneat = 100 and pruneto = 10. The A-star algorithm ...
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Identification of video subsequence using bipartite graph matching
... The first difference between our proposed approach and the others is associated with the use of frame matching to compute video clip similarity. Most contributions as- sume that the target video has been ...
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The study of similarity score calculation methods for minutia-based fingerprint matching algorithms
... ngerprint matching algorithm involves the calculation of the similarity score value in order to distinguish between genuine and im- postor ...comparisons. Similarity scores can be categorised into ...
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A Comparison of Algorithms used to measure the Similarity between two documents
... Cosine Similarity, Similarity Measure, Dice Coefficient, Fingerprint, Winnowing ...the similarity of two documents is very necessary and it is fundamental to detect the plagiarism of many different ...
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Comparison of similarity measures for the task of template matching of masses on serial mammograms
... correlation similarity measure shows the best robustness among all twelve similarity measures in all ex- ...the similarity measure ...the similarity measures 共cor- relation, cosine, gamma, ...
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Automated Duplicate Bug Report Classification using Subsequence Matching
... II. RELATED WORK Detecting duplicate bug report involves comparing newly submitted reports to an existing repository [3, 4, 5, 6]. One of the best classification results was reported by Wang et al. [3]. They leverage ...
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Comparison of Elastic Matching Algorithms for Online Tamil Handwritten Character Recognition
... elastic matching algorithms. Ad- vantage of elastic matching algorithms is that they do not require a relatively large amount of training data, making them suitable for writer dependent ...
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COMPARISON AND IMPLEMENTATION OF FAST BLOCK MATCHING MOTION ESTIMATION ALGORITHMS FOR VIDEO COMPRESSSION
... estimation algorithms, out of which diamond search algorithm is giving the best results in terms of number of computations and the image quality, As is shown by table1and 2 the DS algorithm come pretty close to ...
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A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence
... pairwise comparison test showed that, it can be claimed that the performance of DLCSS is better than the DTW and LCSS with 95% confidence and 99% confidence ...pairwise comparison tests, it can be claimed ...
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Review and comparison of similarity measures and community detection algorithms for clustering of network constrained trajectories
... 5.3. Hardware and software used Our experiments are conducted on an HP Zbook computer, containing an Intel i7-6700HQ octocore processor clocked at 8 * 2.60Ghz with 16Gb of Ram and run- ning under Ubuntu 16.04 LTS. The ...
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Using similarity metrics for matching lifelong learners
... string similarity measures could be used to encode and compare the timelines of lifelong ...timeline comparison, such as addition, substitution or deletion of ...different similarity definitions on a ...
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Robust Similarity Measures for Named Entities Matching
... However, this problem may be solved by choos- ing a more adequate sub-measure: experiments show that using the CosTFIDF measure with bi- grams or trigrams outperforms standard CosT- FIDF. Of course, there are some ...
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Fast matching for all pairs similarity search
... pairs similarity search is the problem of finding all pairs of records that have a similarity score above the specified ...design algorithms with feasible time ...challenge, algorithms have ...
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A Comparative Study of Fingerprint Matching Algorithms
... fingerprint matching techniques for the purpose of authentication proposed in the literature have been ...various algorithms used in fingerprint matching process based on the various fingerprint ...
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CiteSeerX — Efficient Graph Matching Algorithms
... new algorithms for the comparison of graphs by means of exact and error-correcting graph or subgraph isomorphism detection are ...these algorithms is that one or several of the graphs involved in the ...
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Engineering Fast Parallel Matching Algorithms
... approximation algorithms for the cardinality and weighted matching ...sequential algorithms is based on an algorithm by Karp and Sipser to compute maximal matchings ...these algorithms that ...
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A comparison of code similarity analysers
... code similarity detection techniques and tools can perform better than more general textual similarity ...string matching techniques, fuzzywuzzy and difflib, outperform dedicated code ...
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