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1

Tanno, Tomohiro, Kazumasa Horie, Takaaki Kobayashi, and Masahiko Morita. "Effect of Patten Coding on Pattern Classification Neural Networks." International Journal of Machine Learning and Computing 5, no. 4 (2015): 339–43. http://dx.doi.org/10.7763/ijmlc.2015.v5.531.

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2

OH, Ibewuike, Olotu EJ, and Paul JN. "Dermatoglyphic Digital Patterns and Pattern Intensity Index in Uterine Leiomyoma." International Journal of Pharma Research and Health Sciences 7, no. 2 (2019): 2923–27. http://dx.doi.org/10.21276/ijprhs.2019.02.01.

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3

Short, Nicholas. "Patterns of pattern formation." Nature 378, no. 6555 (1995): 331. http://dx.doi.org/10.1038/378331a0.

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4

Sze-To, Antonio, and Andrew K. C. Wong. "Discovering Patterns From Sequences Using Pattern-Directed Aligned Pattern Clustering." IEEE Transactions on NanoBioscience 17, no. 3 (2018): 209–18. http://dx.doi.org/10.1109/tnb.2018.2845741.

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5

Erwig, Martin, and Simon Peyton Jones. "Pattern Guards and Transformational Patterns." Electronic Notes in Theoretical Computer Science 41, no. 1 (2001): 3. http://dx.doi.org/10.1016/s1571-0661(05)80540-7.

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6

S., Sivaranjani. "Detecting Congestion Patterns in Spatio Temporal Traffic Data Using Frequent Pattern Mining." Bonfring International Journal of Networking Technologies and Applications 5, no. 1 (2018): 21–23. http://dx.doi.org/10.9756/bijnta.8372.

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7

Imaniah, Annisa. "Analisis Sintaktik Frasa dalam Komentar Pembaca Manga Boruto: Naruto Next Generation Chapter 001." JIIP - Jurnal Ilmiah Ilmu Pendidikan 8, no. 6 (2025): 6438–40. https://doi.org/10.54371/jiip.v8i6.8219.

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The purposes of this study are to found and to analyse some phrases and sentence patterns that are used in the reader's comments of Manga Boruto: Naruto Next Generation Chapter 001using tree diagram theory. In this case, the aims of this study are: (1) To find out the phrases used in the reader's comments of Manga Boruto: Naruto Next Generation Chapter 001.(2)To find out the sentence patterns found in the reader's comments of Manga Boruto: naruto next generation chapter 001. The object of this study was reader’s comments of Manga Boruto: Naruto Next Generation Chapter 001. The method of this s
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8

Peng, Hui. "Non-Interference Pattern Evolving to Interference Pattern; Non-Diffraction Pattern Evolving to Diffraction Pattern; Two Non-Diffraction Patterns Evolving to Interference-Pattern-Embedded-in-Diffraction Patterns--- Wave-Wave Interference to Photon-Photon Interaction." International Journal of Physics 12, no. 1 (2024): 40–64. http://dx.doi.org/10.12691/ijp-12-1-4.

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9

Han, Jiawei, and Jian Pei. "Mining frequent patterns by pattern-growth." ACM SIGKDD Explorations Newsletter 2, no. 2 (2000): 14–20. http://dx.doi.org/10.1145/380995.381002.

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10

S, Abirami. "Pattern-Growth Methods for Frequent Pattern Mining." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 76–81. https://doi.org/10.5281/zenodo.1410989.

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Mining frequent patterns from large databases play an essential role in many data mining tasks and has broad applications. Most of the previously proposed methods adopt Apriori-like candidate-generation-and-test approaches. However, those methods  may  encounter  serious  challenges  when  mining  datasets  with  prolific patterns and long patterns.In this work, to develop a class of novel and efficient pattern-growth methods for mining various frequent patterns from large databases. Pattern-growth methods  adopt a divi
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11

Humphrey, G. Keith, Peter C. Dodwell, and Victor F. Emerson. "Pattern-contingent color aftereffects on noninduced patterns." Perception & Psychophysics 45, no. 2 (1989): 97–109. http://dx.doi.org/10.3758/bf03208044.

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12

Zhou, Jianjun, Jorg Sander, and Guohui Lin. "Efficient composite pattern finding from monad patterns." International Journal of Bioinformatics Research and Applications 3, no. 1 (2007): 86. http://dx.doi.org/10.1504/ijbra.2007.011836.

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13

Ma, Qian, and Jingfeng Guo. "Mining Multi-Patterns in Pattern-Based Clustering." Procedia Engineering 29 (2012): 3179–83. http://dx.doi.org/10.1016/j.proeng.2012.01.462.

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14

Huang, Hao, Xindong Wu, and Richard Relue. "Mining frequent patterns with the pattern tree." New Generation Computing 23, no. 4 (2005): 315–37. http://dx.doi.org/10.1007/bf03037636.

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15

Poirson, Allen B., and Brian A. Wandell. "Appearance of colored patterns: pattern–color separability." Journal of the Optical Society of America A 10, no. 12 (1993): 2458. http://dx.doi.org/10.1364/josaa.10.002458.

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16

Koyama, Motoaki. "Pattern recognition apparatus with retrieval reference patterns." Journal of the Acoustical Society of America 95, no. 1 (1994): 592. http://dx.doi.org/10.1121/1.408283.

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17

HAYASHI, S., J. KATADA, R. SAKAMOTO, T. KOBAYASHI, and M. SAEKI. "Design Pattern Detection by Using Meta Patterns." IEICE Transactions on Information and Systems E91-D, no. 4 (2008): 933–44. http://dx.doi.org/10.1093/ietisy/e91-d.4.933.

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18

Hill, Andrea A., and Gretchen E. Diehl. "Identifying the Patterns of Pattern Recognition Receptors." Immunity 49, no. 3 (2018): 389–91. http://dx.doi.org/10.1016/j.immuni.2018.08.027.

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19

Ramdan, Deden. "MANAGEMENT FAMILY COMMUNICATION PATTERNS OF FEMALE TEACHERS AT STATE SECONDARY SCHOOL WEST JAVA." Jurnal Riset Bisnis dan Manajemen 15, no. 2 (2022): 142–46. http://dx.doi.org/10.23969/jrbm.v15i2.9973.

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This study entitled “Family Communication Patterns Of Female Teachers At State Secondary School 15 Bandung City District West Java Province”. Female teachers who become informants are those whor are married and have children. The purpose of this study was to find out how or the pattern of communication carried out by a female teachers in childcare. And which family communication pattern will they use in parenting. The method used in this study is a qualitative research method with the theory of family communication pattern. With qualitative methods, researchers can obtain data using in-depth i
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20

Mikhailov, Alexei. "Indexing-Based Pattern Recognition." Advanced Materials Research 403-408 (November 2011): 5254–59. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.5254.

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The paper discusses the mathematics of pattern indexing and its applications to recognition of visual patterns and classification of objects that are represented by objects-properties matrices. It is shown that (a) pattern indexes can be represented by collections of inverted patterns, (b) solutions to pattern classification problems can be found as intersections of inverted patterns and, thus, matching of original patterns avoided.
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21

Thakur, Ramjeevan Singh, and Vivek Tiwari. "Pattern Retrieval through Classification from Pattern Warehouse." International Journal of Business Intelligence Research 5, no. 3 (2014): 1–10. http://dx.doi.org/10.4018/ijbir.2014070101.

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The pattern is special kinds of data which are created through various data mining techniques and stored in the pattern warehouse through a specialized pattern management system (PMS). Pattern warehouse makes the pattern non-volatile or persists. Now a day's persistent pattern retrieval is a very new and important issue. This paper focuses on problems and challenges with pattern retrieval. One can see the applicability of classification in pattern retrieval as an opportunity and trying to bring attention to probable issues and challenges behind the physical implementation of this concept. This
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22

Harco, Leslie Hendric Spits Warnars, Trisetyarso Agung, and Randriatoamanana Richard. "Confidence of AOI-HEP Mining Pattern." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 3 (2018): 1217–25. https://doi.org/10.12928/TELKOMNIKA.v16i3.5303.

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Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) has been proven can mine frequent and similar patterns and the finding AOI-HEP patterns will be underlined with confidence mining pattern for each AOI-HEP pattern either frequent or similar pattern, and each dataset as confidence AOIHEP pattern between frequent and similar patterns. Confidence per AOI-HEP pattern will show how interested each of AOI-HEP pattern, whilst confidende per dataset will show how interested each dataset between frequent and similar patterns. The experiments for finding confidence of each AOI-HEP patter
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23

Darapureddy, Nagadevi, Nagaprakash Karatapu, and Tirumala Krishna Battula. "Local Derivative Vector Pattern: Hybrid Pattern for Content-Based Medical Image Retrieval." Review of Computer Engineering Studies 7, no. 4 (2020): 79–86. http://dx.doi.org/10.18280/rces.070401.

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This paper examines a hybrid pattern i.e. Local derivative Vector pattern and comparasion of this pattern over other different patterns for content-based medical image retrieval. In recent years Pattern-based texture analysis has significant popularity for a variety of tasks like image recognition, image and texture classification, and object detection, etc. In literature, different patterns exist for texture analysis. This paper aims at forming a hybrid pattern compared in terms of precision, recall and F1-score with different patterns like Local Binary Pattern (LBP), Local Derivative Pattern
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24

Lou, Bu Ye, and Shuo Weng. "Improvement of PRG Pattern by Using Ajax Technology." Applied Mechanics and Materials 336-338 (July 2013): 1992–96. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1992.

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The study discusses the fusion technology of PRG pattern and Ajax and its applications. After analyzing the natures and shortcomings of PRG pattern, it introduces improvement of PRG pattern by using Ajax technology, and proposes three patterns: A-P pattern, A-PRG pattern and A-PG pattern. These patterns can make full use of the characteristics of Ajax technology, which can send asynchronous requests to the server and partially update page, and solve the shortcomings of PRG pattern. Finally, the implementation technology of the patterns in JSF application is presented; the applicable scenarios
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25

Eschenbach, Carolyn A., Frank J. Hall, and Zhongshan Li. "From real to complex sign pattern matrices." Bulletin of the Australian Mathematical Society 57, no. 1 (1998): 159–72. http://dx.doi.org/10.1017/s0004972700031518.

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This paper extends some fundamental concepts of qualitative matrix analysis from sign pattern classes of real matrices to sign pattern classes of complex matrices. A complex sign pattern and its corresponding sign pattern class are defined in such a way that they generalize the definitions of a (real) sign pattern and its corresponding sign pattern class. A survey of several qualitative results on complex sign patterns is presented. In particular, sign nonsingular complex patterns are investigated. The type of region in the complex plane representing the distribution of the determinants of the
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26

Li, Yun, and Saihua Cai. "Detecting Outliers in Data Streams Based on Minimum Rare Pattern Mining and Pattern Matching." Information Technology and Control 51, no. 2 (2022): 268–82. http://dx.doi.org/10.5755/j01.itc.51.2.30524.

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Outliers are the major factors to influence the accuracy of data-based processing, thus, they must be discovered from collected datasets to guarantee data security. With the widely use of sensors and other monitoring equipment, data streams are becoming the main form of data. However, the huge scale of data streams results in the number of mined rare patterns very large, which makes it hard to effectively detect outliers through pattern-based outlier detection methods. Since minimal rare patterns (MRPs) can represent rare patterns and the number is much smaller, therefore, the use of MRPs on o
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27

Huang, K. Y., K. S. Fu, S. W. Cheng, and Z. S. Lin. "Syntactic pattern recognition and Hough transformation for reconstruction of seismic patterns." GEOPHYSICS 52, no. 12 (1987): 1612–20. http://dx.doi.org/10.1190/1.1442278.

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Hierarchical syntactic pattern recognition and the Hough transformation are proposed for automatic recognition and reconstruction of seismic patterns in seismograms. In the first step, the patterns are hierarchically decomposed or recognized into single patterns, straight‐line patterns, or hyperbolic patterns, using syntactic pattern recognition. In the second step, the Hough transformation technique is used for reconstruction, pattern by pattern. The system of syntactic seismic pattern recognition includes envelope generation, a linking process in the seismogram, segmentation, primitive recog
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28

ASMAWATI, ASMAWATI, MURSIDAH MURSIDAH, and SYARIFAH AIDA. "PENENTUAN POLA PRODUKSI MEMINIMALISASI BIAYA PADA USAHA PENGOLAHAN DODOL BANDOL DI KECAMATAN SAMBUTAN KOTA SAMARINDA (The Determination of Production Pattern to Minimize Cost at Processing Business of Dodol Bandol in Sambutan Subcity, Samarinda City)." JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) 3, no. 1 (2019): 1. http://dx.doi.org/10.35941/jakp.3.1.2020.2985.1-8.

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Processing business of dodol Bandol is an agroindustry which processes raw materials from agricultural products. The different of production patterns will cause the different of production cost. The purposes of this research were to know the production patterns of dodol Bandol, incremental costs of every production pattern of dodol Bandol, the minimum production cost of dodol Bandol. Methods of data analysis were descriptive and quantitative. Incremental cost was calculated for every production pattern and then it was determined the production pattern with minimum cost. Production pattern that
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29

Nenojata, Yohanes J., Gratiana Sama, and Yuliana M. D. K. Kara. "SENTENCE PATTERN USED IN CALUM SCOTT’S SONG LYRICH." Lantern: Journal of Language and Literature 9, no. 2 (2023): 72–81. http://dx.doi.org/10.37478/lantern.v9i2.3965.

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Sentence patterns and sentence types are an inseparable unit where each type of sentence contains several sentence patterns. In general, some researchers analyzed sentence patterns in a short story, speech text, news text and others. But in this study will analyze sentence patterns and sentence types in two song lyrics by Calum Scott. Usually in a song lyrics consists of phrases, clauses, and sentences, but the study will analyze how many sentences are there. This study aims to find sentence patterns and sentence types in the two song lyrics. This study uses a qualitative method. The results o
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30

Chai, Xin, Dan Yang, Jingyu Liu, Yan Li, and Youxi Wu. "Top-k sequence pattern mining with non-overlapping condition." Filomat 32, no. 5 (2018): 1703–10. http://dx.doi.org/10.2298/fil1805703c.

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Pattern mining has been widely applied in many fields. Users often mine a large number of patterns. However, most of these are difficult to apply in real applications. Top-k pattern mining, which involves finding the most frequent k patterns, is an effective strategy, because the more frequently a pattern occurs, the more likely they are to be important for users. However, top-k mining can only mine short patterns in mining applications with the Apriori property. It is well-known that short patterns contain less information than long patterns. In this paper, we focus on mining top-k sequence p
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31

Manossoh, Jeniver R., Nurmin Samola, and Sanerita T. Olii. "A SYNTACTICAL ANALYSIS ON SENTENCE PATTERNS USED IN BARACK OBAMA SPEECH." Journal of English Culture, Language, Literature and Education 10, no. 1 (2022): 201–25. http://dx.doi.org/10.53682/eclue.v10i1.4172.

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This study focuses on 9 basic sentence patterns that used in Barack Obama speech which he delivered when visited Universitas Indonesia Jakarta. The aim of the study is to find out how many sentence patterns that used in Barack Obama Speech. This study used qualitative research which the researcher analyzed through the script. The results of the study showed that there were 8 sentence patterns in the speech as follows, they were pattern 1 (9 sentences), pattern 2 (2 sentences), pattern 3 (26 sentences), pattern 4 (1 sentence), pattern 6 (20 sentences), pattern 7 (103 sentences), pattern 8 (1 se
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32

Yun, Unil, Gwangbum Pyun, and Eunchul Yoon. "Efficient Mining of Robust Closed Weighted Sequential Patterns Without Information Loss." International Journal on Artificial Intelligence Tools 24, no. 01 (2015): 1550007. http://dx.doi.org/10.1142/s0218213015500074.

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Sequential pattern mining has become one of the most important topics in data mining. It has broad applications such as analyzing customer purchase data, Web access patterns, network traffic data, DNA sequencing, and so on. Previous studies have concentrated on reducing redundant patterns among the sequential patterns, and on finding meaningful patterns from huge datasets. In sequential pattern mining, closed sequential pattern mining and weighted sequential pattern mining are the two main approaches to perform mining tasks. This is because closed sequential pattern mining finds representative
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33

Peng, Chengyue. "Research on the Characteristics of Figure Round Pattern in Qing Dynasty." Arts Studies and Criticism 5, no. 1 (2024): 20. http://dx.doi.org/10.32629/asc.v5i1.1858.

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Round pattern, also known as round nest pattern. It is one of the most common patterns in ancient China, that is, symmetrical radial or rotating round decorative patterns around. Such patterns are often found on ancient bronze ware, ceramics, weaving and embroidery products, and modern silk fabrics. Round pattern is an important part of the study of Chinese costume patterns, which contains the cultural concepts that Chinese people yearning for perfection, auspiciousness, reunion, harmony and beauty. Cloud bat pattern, rich and noble peony pattern, colorful cloud pattern, sitting dragon pattern
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34

Turkan, KARACA. "Functıonal Health Patterns Model –A Case Study." International Journal of Case Studies 5, no. 7 (2016): 14–22. https://doi.org/10.5281/zenodo.3531366.

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Gordon’s Functional Health Patterns is a method develops By Marjorie Gordon in 1987 proposed functional health patterns as a guide for establishing a comprehensive nursing data base. By using these categories it’s possible to create a systematic and standardized approach to data collection, and enable the nurse to determine the following aspects of health and human function: Health Perception Health Management Pattern, Nutritional Metabolic Pattern, Elimination Pattern, Activity Exercise Pattern, Sleep Rest Pattern, Cognitive-Perceptual Pattern, Self-Perception-Self-Concept Pattern
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35

Desli, Despoina, та Dimitra Gaitaneri. "Η κατανόηση των μαθηματικών μοτίβων από παιδιά Γ’ και Δ’ δημοτικού και οι στρατηγικές σκέψης τους". Preschool and Primary Education 5, № 1 (2017): 63. http://dx.doi.org/10.12681/ppej.10216.

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The aim of the present study was to examine how children attending the middle years of the primary school understand and extend mathematical patterns. A total of 90 students coming from grades C (N=48) and D (N=42) were asked 21 pattern tasks that were designed on the basis of two main categories (visual patterns and number patterns) and were further divided into: a) repeating visual and repeating number patterns, and b) growing visual and growing number patterns. Participants were asked to identify the pattern rules and extend the patterns by filling the missing steps. They also had to make a
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36

P., Prathamesh, Shreya Bondre, and Neha Gavankar. "Honey-patterns: Recognizing Pattern based Attacks on Websites." International Journal of Computer Applications 161, no. 9 (2017): 8–11. http://dx.doi.org/10.5120/ijca2017913202.

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37

Sagar, Sai, Nikhil Srivastava, and Nitin Arora. "Browsing Pattern Analysis: What user browsing Patterns Indicate." International Journal of Computer Applications 180, no. 2 (2017): 16–20. http://dx.doi.org/10.5120/ijca2017915937.

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38

Ellaway, Rachel H., and Joanna Bates. "Exploring patterns and pattern languages of medical education." Medical Education 49, no. 12 (2015): 1189–96. http://dx.doi.org/10.1111/medu.12836.

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39

Poonam Sharma та Gudla Balakrishna. "PrefixSpan: Mining Sequential Patterns by Prefix-Projected Pattern". International Journal of Computer Science & Engineering Survey 2, № 4 (2011): 111–22. http://dx.doi.org/10.5121/ijcses.2011.2408.

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40

Wyse, Gordon A. "Central pattern generation underlying Limulus rhythmic behavior patterns." Current Zoology 56, no. 5 (2010): 537–49. http://dx.doi.org/10.1093/czoolo/56.5.537.

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Abstract Many behavioral activities of the horseshoe crab Limulus are rhythmic, and most of these are produced in large part by central pattern generators within the CNS. The chain of opisthosomal ('abdominal') ganglia controls gill movements of ventilation and gill cleaning, and the prosomal ring of fused ganglia (brain and segmental 'thoracic' ganglia) controls generation of feeding and locomotor movements of the legs. Both the opisthosomal CNS and the prosomal CNS can generate behaviorally appropriate patterns of motor output in isolation, without movements or sensory input. Preparations of
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41

Sikdar, B. K., N. Ganguly, and P. P. Chaudhuri. "Generation of Test Patterns Without Prohibited Pattern Set." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 23, no. 12 (2004): 1650–60. http://dx.doi.org/10.1109/tcad.2004.837730.

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42

Chen, Chien-Chung, and John M. Foley. "Pattern detection: interactions between oriented and concentric patterns." Vision Research 44, no. 9 (2004): 915–24. http://dx.doi.org/10.1016/j.visres.2003.11.017.

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43

JANSON, SVANTE. "Patterns in Random Permutations Avoiding the Pattern 132." Combinatorics, Probability and Computing 26, no. 1 (2016): 24–51. http://dx.doi.org/10.1017/s0963548316000171.

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We consider a random permutation drawn from the set of 132-avoiding permutations of lengthnand show that the number of occurrences of another pattern σ has a limit distribution, after scaling bynλ(σ)/2, where λ(σ) is the length of σ plus the number of descents. The limit is not normal, and can be expressed as a functional of a Brownian excursion. Moments can be found by recursion.
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44

Kiran, T. Ravi, Ch Sai Priyanka Rani, K. Bhoomika, K. Madhuri, and L. Naresh. "An Efficient Pattern Discovery Over Long Text Patterns." International Journal of Engineering Trends and Technology 10, no. 9 (2014): 470–73. http://dx.doi.org/10.14445/22315381/ijett-v10p290.

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45

Tlidi, M., M. Haelterman, and P. Mandel. "3D patterns and pattern selection in optical bistability." Europhysics Letters (EPL) 42, no. 5 (1998): 505–10. http://dx.doi.org/10.1209/epl/i1998-00275-y.

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46

Abdollahifard, Mohammad J., and Karim Faez. "Stochastic simulation of patterns using Bayesian pattern modeling." Computational Geosciences 17, no. 1 (2012): 99–116. http://dx.doi.org/10.1007/s10596-012-9319-x.

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47

Janson, Svante. "Patterns in random permutations avoiding the pattern 321." Random Structures & Algorithms 55, no. 2 (2018): 249–70. http://dx.doi.org/10.1002/rsa.20806.

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48

Van, Trang, Atsuo Yoshitaka, and Bac Le. "Mining web access patterns with super-pattern constraint." Applied Intelligence 48, no. 11 (2018): 3902–14. http://dx.doi.org/10.1007/s10489-018-1182-6.

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49

Helfman, Jonathan. "Dotplot patterns: A literal look at pattern languages." Theory and Practice of Object Systems 2, no. 1 (1996): 31–41. http://dx.doi.org/10.1002/(sici)1096-9942(1996)2:1<31::aid-tapo3>3.0.co;2-a.

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50

Liu, Qian, and Ming Chen. "Frequent Pattern Mining Based on Pattern Space Division in Map/Reduce Cluster." Advanced Materials Research 588-589 (November 2012): 2038–41. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.2038.

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By means of pattern space division and based on Map/Reduce, the problem of processing the many-to-many corresponding relationship between the data set and the patterns set is converted to the problem of processing the many-to-many corresponding relationship between the data subsets and the pattern subspaces associated with the frequent 1-itemsets. Thus, the scale of the intermediate key/value pairs set is reduced so dramatically that the problem of single Map node bottleneck which results from combinatorial explosion of candidate patterns space is avoided. Over three rounds of Map/Reduce tasks
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