標題: Titlebook: Discovery of Ill–Known Motifs in Time Series Data; Sahar Deppe Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁] 作者: hector 時間: 2025-3-21 16:28
書目名稱Discovery of Ill–Known Motifs in Time Series Data影響因子(影響力)
書目名稱Discovery of Ill–Known Motifs in Time Series Data影響因子(影響力)學科排名
書目名稱Discovery of Ill–Known Motifs in Time Series Data網(wǎng)絡公開度
書目名稱Discovery of Ill–Known Motifs in Time Series Data網(wǎng)絡公開度學科排名
書目名稱Discovery of Ill–Known Motifs in Time Series Data被引頻次
書目名稱Discovery of Ill–Known Motifs in Time Series Data被引頻次學科排名
書目名稱Discovery of Ill–Known Motifs in Time Series Data年度引用
書目名稱Discovery of Ill–Known Motifs in Time Series Data年度引用學科排名
書目名稱Discovery of Ill–Known Motifs in Time Series Data讀者反饋
書目名稱Discovery of Ill–Known Motifs in Time Series Data讀者反饋學科排名
作者: Antioxidant 時間: 2025-3-21 23:36 作者: ARIA 時間: 2025-3-22 01:51 作者: 伙伴 時間: 2025-3-22 08:07
2522-8579 variant and wavelet theory.Provides new directions for the d.This book includes a novel motif discovery for time series, KITE (.ill-Known motIf discovery in Time sE.ries data.), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and作者: 是限制 時間: 2025-3-22 11:12 作者: 使乳化 時間: 2025-3-22 14:39 作者: 使乳化 時間: 2025-3-22 18:45
R.C. Dalton,C. H?lscher,H.J. Spiers and extract knowledge from it is growing. This issue is addressed by tasks such as clustering, classification, query by content, anomaly detection, and motif discovery [BeR14,BLB.17,FaV17,AAJ.19,AlA20].作者: 全面 時間: 2025-3-23 01:09
Book 2022avelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes..作者: 詢問 時間: 2025-3-23 01:49 作者: BARB 時間: 2025-3-23 07:17
Introduction,mount of data. According to IBM [IBM20], over 2.5 quintillion bytes of data are created every single day, obtained from different fields such as economics, medicine and epidemiology, industry and telecommunications, geographical and physical science [PfL18, ElB18, CTC.19, SGO20]. These data are main作者: judiciousness 時間: 2025-3-23 11:26
Preliminaries,ies is included since time series constitute this dissertation’s main scope. In the context of data mining and knowledge discovery, time series analysis does not only aim to extract statistics but mainly to discover the characteristics and meaningful information from the data by employing tasks such作者: Obstruction 時間: 2025-3-23 16:35 作者: magnanimity 時間: 2025-3-23 20:51
State of the Art in Time Series Motif Discovery,iverse areas. This topic attracts several researchers from the domain of data and knowledge discovery. Data mining and pattern recognition tasks aim to provide information derived from time series [BeR14, BLB.17, FaV17, AAJ.19, AlA20].作者: 大方一點 時間: 2025-3-24 01:01
Distortion-Invariant Motif Discovery,nd the research gaps provided in Chapter 4, KITE’s approach is proposed in this section. KITE aims to overcome the limitations of the existing methods regarding detecting illknown motifs by means of its steps.作者: 粗魯性質 時間: 2025-3-24 03:14
Conclusion and Outlook, attractive area for several researchers. By increasing the power of computers to collect and compute data, the need for methods that analyse the data and extract knowledge from it is growing. This issue is addressed by tasks such as clustering, classification, query by content, anomaly detection, a作者: 出沒 時間: 2025-3-24 07:52 作者: 繁榮中國 時間: 2025-3-24 11:36
Damian O. Elias,Andrew C. Masonmount of data. According to IBM [IBM20], over 2.5 quintillion bytes of data are created every single day, obtained from different fields such as economics, medicine and epidemiology, industry and telecommunications, geographical and physical science [PfL18, ElB18, CTC.19, SGO20]. These data are main作者: 易于交談 時間: 2025-3-24 17:40 作者: 使閉塞 時間: 2025-3-24 21:54
Mathematical Discourse as Group Cognitiontion. The data representation step aims to reduce the data’s size or to approximate it without losing relevant information. In the final step, the similarity measurement step, motifs are detected by quantifying their similarity based on a given threshold [EsA12,Mue14,ToL17b].作者: COM 時間: 2025-3-25 02:35
Elizabeth S. Charles,Wesley Shumariverse areas. This topic attracts several researchers from the domain of data and knowledge discovery. Data mining and pattern recognition tasks aim to provide information derived from time series [BeR14, BLB.17, FaV17, AAJ.19, AlA20].作者: Infect 時間: 2025-3-25 03:53 作者: 銀版照相 時間: 2025-3-25 09:24 作者: In-Situ 時間: 2025-3-25 14:49
https://doi.org/10.1007/978-1-4419-0228-3In the previous sections, the theoretical methods and their properties that contributed to this dissertation have been described. In this chapter, experiments are performed in order to evaluate the performance of KITE. All the examinations are benchmarked against six state-of-the-art algorithms, as explained in Chapter 4.作者: 侵蝕 時間: 2025-3-25 18:56 作者: 起來了 時間: 2025-3-25 22:33 作者: 一個攪動不安 時間: 2025-3-26 01:32
Mathematical Discourse as Group Cognitiontion. The data representation step aims to reduce the data’s size or to approximate it without losing relevant information. In the final step, the similarity measurement step, motifs are detected by quantifying their similarity based on a given threshold [EsA12,Mue14,ToL17b].作者: ethereal 時間: 2025-3-26 05:55
Elizabeth S. Charles,Wesley Shumariverse areas. This topic attracts several researchers from the domain of data and knowledge discovery. Data mining and pattern recognition tasks aim to provide information derived from time series [BeR14, BLB.17, FaV17, AAJ.19, AlA20].作者: 想象 時間: 2025-3-26 10:48 作者: 松軟 時間: 2025-3-26 14:08 作者: 大洪水 時間: 2025-3-26 17:48
978-3-662-64214-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE作者: offense 時間: 2025-3-26 23:41
Sahar DeppeDelivers a comprehensive review of methods in motif discovery along with the research gaps in this domain.Covers mathematical theories as invariant and wavelet theory.Provides new directions for the d作者: 誘使 時間: 2025-3-27 01:46 作者: Libido 時間: 2025-3-27 09:13 作者: 喃喃訴苦 時間: 2025-3-27 10:47
State of the Art in Time Series Motif Discovery,iverse areas. This topic attracts several researchers from the domain of data and knowledge discovery. Data mining and pattern recognition tasks aim to provide information derived from time series [BeR14, BLB.17, FaV17, AAJ.19, AlA20].作者: 震驚 時間: 2025-3-27 15:05 作者: faction 時間: 2025-3-27 20:11
Fritz Beskeductions in access to inpatient care and increased reliance on outpatient services. Moreover, although analyses of behavioral health carve-outs often suggest increases in the use of outpatient care, evaluations of substance abuse claims report reductions in ambulatory utilization for the treatment of alcohol and drug dependence.作者: 淘氣 時間: 2025-3-28 01:38 作者: 牛馬之尿 時間: 2025-3-28 05:19 作者: IRATE 時間: 2025-3-28 06:34
Santiago Garcia-EchevarriaDekaden hinweg selbst ohne weitere Forschungsaktivit?ten einen hohen Grad der technischen Entwicklung und des Wirtschaftswachstums realisieren k?nnten, da ein gro?er Teil der technologischen Potentiale noch gar keine Anwendung in Technik, also konkreten Produkten, gefunden habe..)作者: Genetics 時間: 2025-3-28 11:21
Lariza Laura de Oliveira,Renato Tinósngapore, South Korea, Sweden, the UK and the US. Written by an international and interdisciplinary group of authors, from senior professors to junior scholars, artists, graduate students and activist, the book is aimed at students, researchers, and media practitioners.978-3-319-83255-5978-3-319-45270-8作者: 高原 時間: 2025-3-28 18:21
Wie ber?t man fachlich kompetent? l, social, and spiritual unity without the dangers of bombast, extremism, or political attack upon him. He produced his famous ‘conversation’ poems, ‘meditative’ poems as he later called them. These sought spiritual intimacy by play upon the words of friends (in the manner of his pantisocratic coina作者: BIBLE 時間: 2025-3-28 20:12 作者: 挑剔為人 時間: 2025-3-29 01:06
https://doi.org/10.1007/978-3-658-19634-9Molekulare Psychologie; Kandidatengene; Epigenetik; Molekulargenetik; Pers?nlichkeit; Magnetresonanztomog
