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Journal articles on the topic 'Frequent subsequences'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Al-Mulla, Reem, and Zaher Al Aghbari. "Incremental Algorithm for Discovering Frequent Subsequences in Multiple Data Streams." International Journal of Data Warehousing and Mining 7, no. 4 (2011): 1–20. http://dx.doi.org/10.4018/jdwm.2011100101.

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In recent years, new applications emerged that produce data streams, such as stock data and sensor networks. Therefore, finding frequent subsequences, or clusters of subsequences, in data streams is an essential task in data mining. Data streams are continuous in nature, unbounded in size and have a high arrival rate. Due to these characteristics, traditional clustering algorithms fail to effectively find clusters in data streams. Thus, an efficient incremental algorithm is proposed to find frequent subsequences in multiple data streams. The described approach for finding frequent subsequences

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INOKUCHI, Akihiro, and Takashi WASHIO. "GTRACE: Mining Frequent Subsequences from Graph Sequences." IEICE Transactions on Information and Systems E93-D, no. 10 (2010): 2792–804. http://dx.doi.org/10.1587/transinf.e93.d.2792.

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Loekito, Elsa, James Bailey, and Jian Pei. "A binary decision diagram based approach for mining frequent subsequences." Knowledge and Information Systems 24, no. 2 (2009): 235–68. http://dx.doi.org/10.1007/s10115-009-0252-9.

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Ezeife, Christie I., Vignesh Aravindan, and Ritu Chaturvedi. "Mining Integrated Sequential Patterns From Multiple Databases." International Journal of Data Warehousing and Mining 16, no. 1 (2020): 1–21. http://dx.doi.org/10.4018/ijdwm.2020010101.

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Existing work on multiple databases (MDBs) sequential pattern mining cannot mine frequent sequences to answer exact and historical queries from MDBs having different table structures. This article proposes the transaction id frequent sequence pattern (TidFSeq) algorithm to handle the difficult problem of mining frequent sequences from diverse MDBs. The TidFSeq algorithm transforms candidate 1-sequences to get transaction subsequences where candidate 1-sequences occurred as (1-sequence, itssubsequenceidlist) tuple or (1-sequence, position id list). Subsequent frequent i-sequences are computed u

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Xue, Yun, Zhengling Liao, Meihang Li, et al. "A New Approach for Mining Order-Preserving Submatrices Based on All Common Subsequences." Computational and Mathematical Methods in Medicine 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/680434.

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Order-preserving submatrices (OPSMs) have been applied in many fields, such as DNA microarray data analysis, automatic recommendation systems, and target marketing systems, as an important unsupervised learning model. Unfortunately, most existing methods are heuristic algorithms which are unable to reveal OPSMs entirely in NP-complete problem. In particular, deep OPSMs, corresponding to long patterns with few supporting sequences, incur explosive computational costs and are completely pruned by most popular methods. In this paper, we propose an exact method to discover all OPSMs based on frequ

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Gurzadyan, V. G., H. Yan, G. Vlahovic, et al. "Detecting somatic mutations in genomic sequences by means of Kolmogorov–Arnold analysis." Royal Society Open Science 2, no. 8 (2015): 150143. http://dx.doi.org/10.1098/rsos.150143.

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The Kolmogorov–Arnold stochasticity parameter technique is applied for the first time to the study of cancer genome sequencing, to reveal mutations. Using data generated by next-generation sequencing technologies, we have analysed the exome sequences of brain tumour patients with matched tumour and normal blood. We show that mutations contained in sequencing data can be revealed using this technique, thus providing a new methodology for determining subsequences of given length containing mutations, i.e. its value differs from those of subsequences without mutations. A potential application for

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Asgari, Ehsaneddin, Philipp C. Münch, Till R. Lesker, Alice C. McHardy, and Mohammad R. K. Mofrad. "DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection." Bioinformatics 35, no. 14 (2018): 2498–500. http://dx.doi.org/10.1093/bioinformatics/bty954.

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Abstract Summary Identifying distinctive taxa for micro-biome-related diseases is considered key to the establishment of diagnosis and therapy options in precision medicine and imposes high demands on the accuracy of micro-biome analysis techniques. We propose an alignment- and reference- free subsequence based 16S rRNA data analysis, as a new paradigm for micro-biome phenotype and biomarker detection. Our method, called DiTaxa, substitutes standard operational taxonomic unit (OTU)-clustering by segmenting 16S rRNA reads into the most frequent variable-length subsequences. We compared the perf

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Thiet, Pham Thi. "APPLYING THE ATTRIBUTED PREFIX TREE FOR MINING CLOSED SEQUENTIAL PATTERNS." Vietnam Journal of Science and Technology 54, no. 3A (2018): 106. http://dx.doi.org/10.15625/2525-2518/54/3a/11964.

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Mining closed sequential patterns is one of important tasks in data mining. It is proposed to resolve difficult problems in mining sequential pattern such as mining long frequent sequences that contain a combinatorial number of frequent subsequences or using very low support thresholds to mine sequential patterns is usually both time- and memory-consuming. This paper applies the characteristics of closed sequential patterns and sequence extensions into the prefix tree structure to mine closed sequential patterns from the sequence database. The paper uses the parent–child relationship on prefix

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Matsuda, Noriyuki, and Haruhiko Takeuchi. "Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/101642.

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Assuming that scenes would be visually scanned by chunking information, we partitioned fixation sequences of web page viewers into chunks using isolate gaze point(s) as the delimiter. Fixations were coded in terms of the segments in a5×5mesh imposed on the screen. The identified chunks were mostly short, consisting of one or two fixations. These were analyzed with respect to the within- and between-chunk distances in the overall records and the patterns (i.e., subsequences) frequently shared among the records. Although the two types of distances were both dominated by zero- and one-block shift

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Al-Arishi, Ali Yahya. "Subsequences of Self-initiated Self-repair Repetition in the Speech of Arab EFL Students." ITL - International Journal of Applied Linguistics 113-114 (January 1, 1996): 221–44. http://dx.doi.org/10.1075/itl.113-114.02ala.

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Abstract This study investigates the subsequential relationship between repetition and the other three types of self-initiated self-repair — correction, abandonment, and postponement — in the speech of Arab EFL students: Repetition followed by correction (Re → C), by abandonment (Re → A), and by postponement (Re → P). It also examines the repetition as repair (Re/R) pattern when it is followed by an error (Re/R → E). Subjects of the study were twenty-seven beginning EFL students whose native language was Arabic and who attended a college in Saudi Arabia: fifteen from level one and twelve from

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Abucejo, Maria Isabel, and Jovelyn Cuizon. "Sequential Pattern Mining of Tourist Spatiotemporal Movement." Recoletos Multidisciplinary Research Journal 9, no. 1 (2021): 69–78. http://dx.doi.org/10.32871/rmrj2109.01.07.

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The study aimed to develop a software application to capture tourist activity information, extract movement patterns from the dataset through sequential pattern mining (SPM), and visualize spatiotemporal movement. Tourist activity information was captured through crowdsourced trajectory movements by scanning unique QR (Quick Response) codes for each visited tourist spots. The AprioriAll algorithm was used to find frequent trajectory patterns on tourist visits. The resulting maximal k-sequences and their subsequences represent the recommended trip itinerary. The spatial and temporal movements w

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Bunker, Rory, Keisuke Fujii, Hiroyuki Hanada, and Ichiro Takeuchi. "Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union." PLOS ONE 16, no. 9 (2021): e0256329. http://dx.doi.org/10.1371/journal.pone.0256329.

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Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques cannot determine the importance of particular patterns of play to good or bad outcomes, which is often of greater interest to coaches and performance analysts. In this study, we apply a recently proposed supervised sequential pattern mining algorithm called safe pattern pruning (SPP) to 490 labelled event sequences representing passages of play from one rugby team’s matches in t

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Li, Guohui, Wanni Chang, and Hong Yang. "A New Hybrid Model for Underwater Acoustic Signal Prediction." Complexity 2020 (July 25, 2020): 1–19. http://dx.doi.org/10.1155/2020/5167469.

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The prediction of underwater acoustic signal is the basis of underwater acoustic signal processing, which can be applied to underwater target signal noise reduction, detection, and feature extraction. Therefore, it is of great significance to improve the prediction accuracy of underwater acoustic signal. Aiming at the difficulty in underwater acoustic signal sequence prediction, a new hybrid prediction model for underwater acoustic signal is proposed in this paper, which combines the advantages of variational mode decomposition (VMD), artificial intelligence method, and optimization algorithm.

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Souza, Juarina Ana Da Silveira. "PERMANÊNCIA E EVASÃO ESCOLAR: UM ESTUDO DE CASO EM UMA INSTITUIÇÃO DE ENSINO PROFISSIONAL." Revista Brasileira da Educação Profissional e Tecnológica 1, no. 6 (2016): 19. http://dx.doi.org/10.15628/rbept.2013.3498.

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A presente pesquisa tem como objetivo analisar o fenômeno da permanência e evasão escolar nos cursos oferecidos na Educação Profissional de Nível Técnico, com ênfase no Curso Técnico Subsequente de Redes de Computadores, ofertado pelo Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte – IFRN, Campus São Gonçalo do Amarante. Busca-se com isso contribuir com reflexões e proposição de uma política para a diminuição da evasão escolar tão frequente nos cursos técnicos subsequentes. Os instrumentos utilizados consistiram em análise documental, aplicação de questionário e entr

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Berkes, István, and Michel Weber. "Upper–lower class tests and frequency results along subsequences." Stochastic Processes and their Applications 115, no. 4 (2005): 679–700. http://dx.doi.org/10.1016/j.spa.2004.11.007.

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Hebmuller, Marjorie Garlow, Humberto Holmer Fiori, and Eleonor Gastal Lago. "Gestações subsequentes em mulheres que tiveram sífilis na gestação." Ciência & Saúde Coletiva 20, no. 9 (2015): 2867–78. http://dx.doi.org/10.1590/1413-81232015209.20332014.

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Resumo Este estudo incluiu gestantes positivas para sífilis atendidas por parto ou aborto, entre 1997 e 2004, no Hospital São Lucas, Porto Alegre, RS. Foram levantados desfechos obstétricos subsequentes das mesmas, até dezembro 2011, para investigar a recorrência da doença. De 450 gestantes com sorologia positiva, atendidas de 1997 a 2004, 166 tiveram pelo menos mais um atendimento obstétrico até dezembro de 2011, sendo incluídos 266 novos desfechos obstétricos. A sífilis congênita (SC) foi evidenciada em 81,9% das gestações iniciais e em 68,4% das subsequentes. As principais causas da SC nas

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Beedkar, Kaustubh, Rainer Gemulla, and Wim Martens. "A Unified Framework for Frequent Sequence Mining with Subsequence Constraints." ACM Transactions on Database Systems 44, no. 3 (2019): 1–42. http://dx.doi.org/10.1145/3321486.

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Wu, Chufang. "The Distributions of the Frequency of Occurrence of Nucleotide Subsequences." Methodology and Computing in Applied Probability 7, no. 3 (2005): 325–34. http://dx.doi.org/10.1007/s11009-005-4520-1.

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Rui, Cai, Li Fei, Chen Bin, and Quan Cong. "A Novel Method for Text Similarity Calculation." Advanced Materials Research 660 (February 2013): 202–6. http://dx.doi.org/10.4028/www.scientific.net/amr.660.202.

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In view of the fact that traditional vector space model for text similarity calculation which does not take word order into consideration leads to bias, this paper puts forward a longest common subsequence and the traditional vector space model of combining text similarity calculation. This method takes the word order and word frequency information into account, using the texts of the longest common subsequence and substring of their information from all public records and the use of word order and word frequency in the text. The importance of similarity calculation is acknowledged, and the tr

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Xing, Zhenxiang, Yinan Wang, Xinglong Gong, Jingyan Wu, Yi Ji, and Qiang Fu. "Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration." Water 10, no. 9 (2018): 1212. http://dx.doi.org/10.3390/w10091212.

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Instream ecological flow is an essential determinant of river health. Intra- and interannual distribution characteristics of runoff have been altered to different degrees by dam construction. Historical runoff series with alterations, as basic data for ecological flow calculation, provide minimal instream hydrological process information, which affects the credibility of calculation results. Considering the influence of the alterations in runoff series on ecological flow calculation, the Gini coefficient (GI) is introduced to study the evenness degrees of the intra-annual runoff distribution o

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Moelants, Dirk, and Leon van Noorden. "The Influence of Pitch Interval on the Perception of Polyrhythms." Music Perception 22, no. 3 (2005): 425–40. http://dx.doi.org/10.1525/mp.2005.22.3.425.

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Research by S. Handel and J. S. Oshinsky (1981) has shown that when tapping to polyrhythms, people synchronize with different subsequences depending on the overall tempo, with a global change from the faster component at slow tempi to the slower component at medium tempi and then to the overall repeating pattern at fast tempi. In this article, similar polyrhythmic patterns are studied, adding larger pitch intervals between the two sequences. The results largely confirm the findings of Handel and Oshinsky at small pitch intervals, but at larger pitch intervals, the importance of the overall pat

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Abakumov, Evgeny, Vassili Nestoridis, and Massimo Picardello. "Frequently dense harmonic functions and universal martingales on trees." Proceedings of the American Mathematical Society 149, no. 5 (2021): 1905–18. http://dx.doi.org/10.1090/proc/15355.

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On a large class of infinite trees T T , we prove the existence of harmonic functions h h , with respect to suitable transient transition operators P P , that satisfy the following universal property: h h is the Poisson transform of a martingale on the end-point boundary Ω \Omega of T T (equipped with the harmonic measure induced by P P ) such that, for every measurable function f f on Ω \Omega , it contains a subsequence converging to f f in measure. Moreover, the martingale visits every open set of measurable functions with positive lower density.

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Lehrer, Ehud, and Dimitry Shaiderman. "Exchangeable Processes: de Finetti’s Theorem Revisited." Mathematics of Operations Research 45, no. 3 (2020): 1153–63. http://dx.doi.org/10.1287/moor.2019.1026.

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A sequence of random variables is exchangeable if the joint distribution of any finite subsequence is invariant to permutations. De Finetti’s representation theorem states that every exchangeable infinite sequence is a convex combination of independent and identically distributed processes. In this paper, we explore the relationship between exchangeability and frequency-dependent posteriors. We show that any stationary process is exchangeable if and only if its posteriors depend only on the empirical frequency of past events.

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Yoshida, Kenichi, Masashi Sanada, Yasunobu Nagata, et al. "Whole Exome Analysis of Myelodysplastic Syndromes Using Next-Generation Resequencing Technology." Blood 116, no. 21 (2010): 295. http://dx.doi.org/10.1182/blood.v116.21.295.295.

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Abstract Abstract 295 Myelodysplastic syndromes (MDS) are a hetreogenous groups of myeloid neoplasms characterized by cytopenia of varying degrees and transition to acute myeloid leukemia (AML). MDS is one of the most frequent hematopoietic malignancies, particularly in the elderly. At present, allogeneic hematopoietic stem-cell transplantation is the only treatment that can induce long-term remission in MDS, but it is not applicable to most patients because of their advanced age and is associated with a high rate of treatment-related death and many complications such as chronic graft-versus-h

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Gentleman, Jane F., and Ronald C. Mullin. "The Distribution of the Frequency of Occurrence of Nucleotide Subsequences, Based on Their Overlap Capability." Biometrics 45, no. 1 (1989): 35. http://dx.doi.org/10.2307/2532033.

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Brochard, Renaud, Carolyn Drake, Marie-Claire Botte, and Stephen McAdams. "Perceptual organization of complex auditory sequences: Effect of number of simultaneous subsequences and frequency separation." Journal of Experimental Psychology: Human Perception and Performance 25, no. 6 (1999): 1742–59. http://dx.doi.org/10.1037/0096-1523.25.6.1742.

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Fujimaki, Ryohei, Shunsuke Hirose, and Takayuki Nakata. "Frequency Analysis of Subsequence Time Series Clustering and Evaluation of Phase Alignment Preprocessing." Transactions of the Japanese Society for Artificial Intelligence 25 (2010): 540–48. http://dx.doi.org/10.1527/tjsai.25.540.

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Faleiro, Rodrigo Moreira, and Luanna Rocha Vieira Martins. "Cavernomas da fossa posterior do crânio – Relato de série de seis casos." Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery 33, no. 04 (2014): 352–56. http://dx.doi.org/10.1055/s-0038-1626239.

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ResumoOs cavernomas são lesões classificadas como malformações vasculares, juntamente com malformações arteriovenosas, desenvolvimento venoso anômalo e telangiectasias capilares. Podem ocorrer de forma esporádica ou familiar e acometer qualquer área do sistema nervoso central, sendo a região supratentorial sua localização mais frequente. Neste artigo, é descrita uma série de seis pacientes com cavernoma na fossa posterior. Cinco cavernomas localizavam-se no tronco encefálico e um no cerebelo. A faixa etária dos pacientes variou de 14 a 50 anos. A abordagem cirúrgica diferiu entre os casos. Qua

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Putra, Tri Dharma. "Analisis Keranjang Belanja dengan Algoritma Apriori Klasik pada Data Mining." Jurnal Kajian Ilmiah 20, no. 1 (2020): 59–66. http://dx.doi.org/10.31599/jki.v20i1.70.

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Association Rule Mining is an area of data mining that focus on pruning candidate keys, to find frequent item set. For example, a set of items, such as milk and bread, that appear frequently together in a transaction data set is a frequent itemset. A subsequence, such as buying first PC, then a digital camera, and then a memory card, if it occurs frequently in a shopping history database, is a (frequent) sequential pattern, also knwon as market basket analysis. This paper describes the step by step classical apriori on market basket analysis. Keywords: apriori algorithm, frequent item se

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Wang, Zhi Chao, Hao Liu, Liang Zhang, and Ying Li. "Sandbody Prediction by Frequency Spectrum Analysis in High-Resolution Sequence Framework of the Third Section of Qingshankou Formation, Xingxi Oil Field." Applied Mechanics and Materials 522-524 (February 2014): 1284–88. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.1284.

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The third section of Qingshankou formation can be divided into five subsequence groups in Xingxi oil field, including two in TST and three in HST. Using spectral decomposition techniques make it easy to predict the sand body decomposition. The sandstone lithology comparison on wells show a high degree of aggrement, indicating that the spectral decomposition techniques for the deposition of sand body prediction is a good way. However, this method can only play an important role in qualitative, not suitable for quantitative analysis.

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Kozachok, A. V., A. A. Spirin, and O. M. Golembiovskaya. "Random forest based pseudorandom sequences classification algorithm." Proceedings of Tomsk State University of Control Systems and Radioelectronics 23, no. 3 (2020): 55–60. http://dx.doi.org/10.21293/1818-0442-2020-23-3-55-60.

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Recently, the number of confidential data leaks caused by internal violators has increased. Since modern DLP-systems cannot detect and prevent information leakage channels in encrypted or compressed form, an algorithm was proposed to classify pseudo-random sequences formed by data encryption and compression algorithms. Algorithm for constructing a random forest was used. An array of the frequency of occurrence of binary subsequences of 9-bit length and statistical characteristics of the byte distribution of sequences was chosen as the feature space. The presented algorithm showed the accuracy

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Gentleman, Jane F. "Algorithm AS 291: The Distribution of the Frequency of Subsequences in Alphabetic Sequences, as Exemplified by Deoxyribonucleic Acid." Applied Statistics 43, no. 2 (1994): 401. http://dx.doi.org/10.2307/2986029.

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Rahman, Md Mostafizer, Shunsuke Kawabayashi, and Yutaka Watanobe. "Categorization of Frequent Errors in Solution Codes Created by Novice Programmers." SHS Web of Conferences 102 (2021): 04014. http://dx.doi.org/10.1051/shsconf/202110204014.

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In recent times, e-learning has become indispensable for both technical and general education. Among all the subjects, programming education has drawn attention because of its importance for continuous development in the ICT sector. Finding errors in a solution code is a laborious task for novice programmers, teachers and instructors. Novice programmers are spending a lot of valuable time to search errors in the solution codes. In this paper, a method for the categorization of frequent errors in solution codes is presented. In the proposed method, the differences between wrong solutions and ac

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Martins, Suelen Bianca S., Maria Ângela B. Brandão, Marcelo Barciela Brandão, Marcelo Conrado dos Reis, Maria de Fátima C. P. Servidone, and Mariana Porto Zambon. "Diagnóstico pouco frequente de dor abdominal em unidade de emergência infantil." Revista Paulista de Pediatria 28, no. 2 (2010): 249–52. http://dx.doi.org/10.1590/s0103-05822010000200019.

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OBJETIVO: Relatar um caso de doença péptica na infância em escolar, com queixa inicial de dor abdominal aguda e palidez. DESCRIÇÃO DO CASO: Escolar de nove anos procurou pronto-socorro infantil com queixa de dor abdominal súbita e palidez. Não apresentava outros sintomas ou sinais ao exame físico além de mucosas descoradas e hemograma com nível baixo de hemoglobina. Durante a observação intra-hospitalar, apresentou episódio de melena. Foi realizada endoscopia digestiva alta, sendo observadas gastrite erosiva de antro e úlcera duodenal, com Helicobacter pylori positivo. O paciente foi tratado c

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OZTURK, OZGUR, and HAKAN FERHATOSMANOGLU. "VECTOR SPACE INDEXING FOR BIOSEQUENCE SIMILARITY SEARCHES." International Journal on Artificial Intelligence Tools 14, no. 05 (2005): 811–26. http://dx.doi.org/10.1142/s0218213005002405.

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We present a multi-dimensional indexing approach for fast sequence similarity search in DNA and protein databases. In particular, we propose effective transformations of subsequences into numerical vector domains and build efficient index structures on the transformed vectors. We then define distance functions in the transformed domain and examine properties of these functions. We experimentally compared their (a) approximation quality for k-Nearest Neighbor (k-NN) queries and both (b) pruning ability and (c) approximation quality for ε-range queries. Results for k-NN queries, which we present

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Peng, He. "CFSP: a collaborative frequent sequence pattern discovery algorithm for nucleic acid sequence classification." PeerJ 8 (April 20, 2020): e8965. http://dx.doi.org/10.7717/peerj.8965.

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Background Conserved nucleic acid sequences play an essential role in transcriptional regulation. The motifs/templates derived from nucleic acid sequence datasets are usually used as biomarkers to predict biochemical properties such as protein binding sites or to identify specific non-coding RNAs. In many cases, template-based nucleic acid sequence classification performs better than some feature extraction methods, such as N-gram and k-spaced pairs classification. The availability of large-scale experimental data provides an unprecedented opportunity to improve motif extraction methods. The p

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Carmo, Julia De Souza, Pedro Henrique Feldman Sznajderman Silveira, Renan Gianecchini Vignardi, et al. "Autolesão não suicida na adolescência como fator de predisposição ao suicídio." Saúde, Ética & Justiça 25, no. 1 (2020): 3–9. http://dx.doi.org/10.11606/issn.2317-2770.v25i1p3-9.

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A autolesão não suicida na adolescência é um evento frequente e está associada a tentativas subsequentes de suicídio ou ao suicídio completo, sugerindo que esse comportamento e aspectos psicológicos relacionados a ele possam estar na mesma trajetória de risco. As regras legais determinam a obrigação do médico notificar casos suspeitos ou confirmados de automutilação às autoridades de saúde. No entanto, não se trata apenas de cumprir com os requisitos legais; o médico deve estar ciente dessa possibilidade, conhecendo os mecanismos aplicados pelos adolescentes, sabendo os motivos que possam dese

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Liu, Jie, Hui Tian, Chin-Chen Chang, Tian Wang, Yonghong Chen, and Yiqiao Cai. "Steganalysis of Inactive Voice-Over-IP Frames Based on Poker Test." Symmetry 10, no. 8 (2018): 336. http://dx.doi.org/10.3390/sym10080336.

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This paper concentrates on the detection of steganography in inactive frames of low bit rate audio streams in Voice over Internet Protocol (VoIP) scenarios. Both theoretical and experimental analyses demonstrate that the distribution of 0 and 1 in encoding parameter bits becomes symmetric after a steganographic process. Moreover, this symmetry affects the frequency of each subsequence of parameter bits, and accordingly changes the poker test statistical features of encoding parameter bits. Employing the poker test statistics of each type of encoding parameter bits as detection features, we pre

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O'Donnell, Brian, Alexander Maurer, Antonia Papandreou-Suppappola, and Phillip Stafford. "Time-Frequency Analysis of Peptide Microarray Data: Application to Brain Cancer Immunosignatures." Cancer Informatics 14s2 (January 2015): CIN.S17285. http://dx.doi.org/10.4137/cin.s17285.

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One of the gravest dangers facing cancer patients is an extended symptom-free lull between tumor initiation and the first diagnosis. Detection of tumors is critical for effective intervention. Using the body's immune system to detect and amplify tumor-specific signals may enable detection of cancer using an inexpensive immunoassay. Immunosignatures are one such assay: they provide a map of antibody interactions with random-sequence peptides. They enable detection of disease-specific patterns using classic train/test methods. However, to date, very little effort has gone into extracting informa

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Huang, J., M. Deng, Y. Zhang, and H. Liu. "COMPLEX ROAD INTERSECTION MODELLING BASED ON LOW-FREQUENCY GPS TRACK DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 23–28. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-23-2017.

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It is widely accepted that digital map becomes an indispensable guide for human daily traveling. Traditional road network maps are produced in the time-consuming and labour-intensive ways, such as digitizing printed maps and extraction from remote sensing images. At present, a large number of GPS trajectory data collected by floating vehicles makes it a reality to extract high-detailed and up-to-date road network information. Road intersections are often accident-prone areas and very critical to route planning and the connectivity of road networks is mainly determined by the topological geomet

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Maciel, Adayne Candido, Alan Aquino Monberger, Thompson Augusto Dos Reis, and Graziela Graziano Oste Cremonezi. "Âncoras de carreiras e gerações - ingressantes e egressos numa IES." Acta Negócios 1, no. 2 (2018): 33–53. http://dx.doi.org/10.19141/2594-7680.actanegocios.v1.n2.p33-53.

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O propósito deste estudo teve como finalidade correlacionar as gerações e as âncoras de carreiras ilustradas por Edgar H. Schein. As informações estatísticas geradas beneficiaram os membros participantes, a Instituição estudada e as organizações que compõem a Região Metropolitana de Campinas (RMC). A pesquisa fora aplicada em dois grupos de alunos, sendo eles ingressos e egressos do curso de Administração, do Centro Universtiário Adventista de São Paulo (Unasp), em Hortolândia, em que, por meio de 267 alunos, foi permitida a identificação do perfil mais predominante frente às gerações X, Y e Z

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Xu, Xinghan, and Weijie Ren. "A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction." Symmetry 11, no. 5 (2019): 610. http://dx.doi.org/10.3390/sym11050610.

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The prediction of chaotic time series has been a popular research field in recent years. Due to the strong non-stationary and high complexity of the chaotic time series, it is difficult to directly analyze and predict depending on a single model, so the hybrid prediction model has become a promising and favorable alternative. In this paper, we put forward a novel hybrid model based on a two-layer decomposition approach and an optimized back propagation neural network (BPNN). The two-layer decomposition approach is proposed to obtain comprehensive information of the chaotic time series, which i

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Kohyarnejadfard, Iman, Daniel Aloise, Michel R. Dagenais, and Mahsa Shakeri. "A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis." Entropy 23, no. 8 (2021): 1011. http://dx.doi.org/10.3390/e23081011.

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Advances in technology and computing power have led to the emergence of complex and large-scale software architectures in recent years. However, they are prone to performance anomalies due to various reasons, including software bugs, hardware failures, and resource contentions. Performance metrics represent the average load on the system and do not help discover the cause of the problem if abnormal behavior occurs during software execution. Consequently, system experts have to examine a massive amount of low-level tracing data to determine the cause of a performance issue. In this work, we pro

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Dias, Ana Rita, Catarina Conde, Leonor Fráguas, Paula Duarte, and Paula Costa Ferreira. "Do sexting ao cyberbullying : principais motivações por detrás do fenómeno." Revista @mbienteeducação 11, no. 3 (2018): 290. http://dx.doi.org/10.26843/ae19828632v11n32018p290a303.

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Este estudo foi desenvolvido com o objetivo de esclarecer as motivações subjacentes ao fenómeno de sexting, bem como aquelas associadas à subsequente publicação das fotografias, e de deter- minar a frequência e prevalência de comportamentos relativos ao envio e publicação em ambos os sexos. Foram recolhidos casos reais, disponíveis na internet, dos quais foram selecionadas informações relativas às motivações de ambas as partes. Numa segunda fase, 40 indivíduos res- ponderam a um questionário sobre a mesma questão. Os resultados indicam o flirt/demonstração de interesse sexual como a principal

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Dias, Ana Rita, Catarina Conde, Leonor Fráguas, Paula Duarte, Paula Costa Ferreira, and Sidclay Bezerra de Souza. "Do sexting ao cyberbullying : principais motivações por detrás do fenómeno." Revista @mbienteeducação 11, no. 3 (2018): 290. http://dx.doi.org/10.26843/ae19828632v11n32018p290a305.

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Este estudo foi desenvolvido com o objetivo de esclarecer as motivações subjacentes ao fenómeno de sexting, bem como aquelas associadas à subsequente publicação das fotografias, e de deter- minar a frequência e prevalência de comportamentos relativos ao envio e publicação em ambos os sexos. Foram recolhidos casos reais, disponíveis na internet, dos quais foram selecionadas informações relativas às motivações de ambas as partes. Numa segunda fase, 40 indivíduos res- ponderam a um questionário sobre a mesma questão. Os resultados indicam o flirt/demonstração de interesse sexual como a principal

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Belaoued, Mohamed, Abdelaziz Boukellal, Mohamed Amir Koalal, Abdelouahid Derhab, Smaine Mazouzi, and Farrukh Aslam Khan. "Combined dynamic multi-feature and rule-based behavior for accurate malware detection." International Journal of Distributed Sensor Networks 15, no. 11 (2019): 155014771988990. http://dx.doi.org/10.1177/1550147719889907.

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Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. Therefore, an adequate protection against such threats is vital. Behavior-based malware detection techniques have shown to be effective at overcoming the weaknesses of the signature-based ones. However, they are known for their high false alarms, which is still a very challenging problem. In this article, we address this shortcoming by proposing a rule-based behavioral malware detection system, which inherits the advantages of both signature and behavior-based ap

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Yan, Lijuan, Yanshen Liu, and Yi Liu. "Application of Discrete Wavelet Transform in Shapelet-Based Classification." Mathematical Problems in Engineering 2020 (August 19, 2020): 1–13. http://dx.doi.org/10.1155/2020/6523872.

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Recently, several shapelet-based methods have been proposed for time series classification, which are accomplished by identifying the most discriminating subsequence. However, for time series datasets in some application domains, pattern recognition on the original time series cannot always obtain ideal results. To address this issue, we propose an ensemble algorithm by combining time frequency analysis and shape similarity recognition of time series. Discrete wavelet transform is used to decompose the time series into different components, and the shapelet features are identified for each com

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Simão, Mateus Camargos Silva Alves, Jhonson Tizzo Godoy, Antônio Mascarenhas Oliveira, et al. "Cloroquina e hidroxicloroquina: o risco de prolongamento do intervalo QT no uso da dose recomendada para o tratamento da COVID-19." Revista Eletrônica Acervo Saúde 12, no. 10 (2020): e4694. http://dx.doi.org/10.25248/reas.e4694.2020.

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Objetivos: Avaliar através de uma revisão narrativa a relação risco-benefício do uso da cloroquina e do sulfato de hidroxicloroquina no tratamento da COVID-19, nas dosagens preconizadas pelo Ministério da Saúde, levando em consideração o possível prolongamento do intervalo QT. Revisão bibliográfica: Os estudos analisados demonstraram tanto resultados benéficos quanto nenhum resultado no combate ao SARS-Cov-19. Entretanto, explicitaram a ocorrência do prolongamento do intervalo QT em 9,1% a 25% dos pacientes, sendo este efeito adverso e suas consequências dose-dependentes. Esta repercussão adve

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Nyström-Persson, Johan, Gabriel Keeble-Gagnère, and Niamat Zawad. "Compact and evenly distributed k-mer binning for genomic sequences." Bioinformatics 37, no. 17 (2021): 2563–69. http://dx.doi.org/10.1093/bioinformatics/btab156.

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Abstract Motivation The processing of k-mers (subsequences of length k) is at the foundation of many sequence processing algorithms in bioinformatics, including k-mer counting for genome size estimation, genome assembly, and taxonomic classification for metagenomics. Minimizers—ordered m-mers where m &lt; k—are often used to group k-mers into bins as a first step in such processing. However, minimizers are known to generate bins of very different sizes, which can pose challenges for distributed and parallel processing, as well as generally increase memory requirements. Furthermore, althoug

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Wu, Menglong, Yicheng Ye, Nanyan Hu, Qihu Wang, Huimin Jiang, and Wen Li. "EMD-GM-ARMA Model for Mining Safety Production Situation Prediction." Complexity 2020 (June 8, 2020): 1–14. http://dx.doi.org/10.1155/2020/1341047.

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In order to improve the prediction accuracy of mining safety production situation and remove the difficulty of model selection for nonstationary time series, a grey (GM) autoregressive moving average (ARMA) model based on the empirical mode decomposition (EMD) is proposed. First of all, according to the nonstationary characteristics of the mining safety accident time series, nonstationary original time series were decomposed into high- and low-frequency signals using the EMD algorithm, which represents the overall trend and random disturbances, respectively. Subsequently, the GM model was used

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