標題: Titlebook: Outlier Detection for Temporal Data; Manish Gupta,Jing Gao,Jiawei Han Book 2014 Springer Nature Switzerland AG 2014 [打印本頁] 作者: 投降 時間: 2025-3-21 17:30
書目名稱Outlier Detection for Temporal Data影響因子(影響力)
書目名稱Outlier Detection for Temporal Data影響因子(影響力)學科排名
書目名稱Outlier Detection for Temporal Data網(wǎng)絡公開度
書目名稱Outlier Detection for Temporal Data網(wǎng)絡公開度學科排名
書目名稱Outlier Detection for Temporal Data被引頻次
書目名稱Outlier Detection for Temporal Data被引頻次學科排名
書目名稱Outlier Detection for Temporal Data年度引用
書目名稱Outlier Detection for Temporal Data年度引用學科排名
書目名稱Outlier Detection for Temporal Data讀者反饋
書目名稱Outlier Detection for Temporal Data讀者反饋學科排名
作者: 施舍 時間: 2025-3-21 21:47 作者: 比目魚 時間: 2025-3-22 01:11 作者: Initial 時間: 2025-3-22 05:54
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Hanively Part III. Part IV is devoted to applications in contact mechanics..The book will be of interest to PhD students and researchers in applied mathematics as well as specialists working in nonsmooth analysis and engineering..978-3-030-81670-4978-3-030-81671-1Series ISSN 1660-8046 Series E-ISSN 1660-8054 作者: Cubicle 時間: 2025-3-22 09:12 作者: 殘暴 時間: 2025-3-22 16:00 作者: Orthodontics 時間: 2025-3-22 18:53
2151-0067 of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time 978-3-031-00777-4978-3-031-01905-0Series ISSN 2151-0067 Series E-ISSN 2151-0075 作者: ARCHE 時間: 2025-3-22 21:58
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Hans is conducted for both the conventional and the electrified version of aircraft, including different electrified topologies. The results show that the electrification of aircraft with the studied propulsion system is not feasible for the conventional range, but producing an all-electric aircraft is作者: SPALL 時間: 2025-3-23 01:46
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Haniscussing the causes of the effectiveness of the internal training delivery environments in terms of post-training occupations of the graduates, the findings reveal that 65.4% of the trainees got employment towards the end of the training programmes or after graduating.作者: 極深 時間: 2025-3-23 07:55
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Hanthe training programmes have accomplished the operational target 4.4 of goal four of the 2030 Agenda for Sustainable Development Goals (SDGs) dealing with adult education for employment. The main contribution of this assessment study is the establishment of a solid base for effective evidence-inform作者: Fester 時間: 2025-3-23 10:01
ultaneously demonstrating the value of the film phenomenology approach in its own right. By privileging the expert researcher–user’s subjective experience of a VR text, the chapter both argues and demonstrates that a substantially nuanced and innovative reading of the VR medium is possible.作者: Perigee 時間: 2025-3-23 17:21 作者: 跳脫衣舞的人 時間: 2025-3-23 18:00
Outlier Detection for Time Series and Data Sequences,ide an overview of the key ideas in this topic, especially from a computer science perspective. We direct the reader to [Barnett and Lewis, 1978], [Hawkins, 1980], [Rousseeuw and Leroy, 1987] for further reading from the statistics point of view. In this chapter, we will focus on two main types of o作者: Brain-Waves 時間: 2025-3-23 23:37 作者: 高興去去 時間: 2025-3-24 04:32 作者: 拋棄的貨物 時間: 2025-3-24 10:12
Synthesis Lectures on Data Mining and Knowledge Discoveryhttp://image.papertrans.cn/o/image/705127.jpg作者: Solace 時間: 2025-3-24 10:41 作者: conception 時間: 2025-3-24 14:53 作者: Hirsutism 時間: 2025-3-24 20:46 作者: 白楊魚 時間: 2025-3-25 01:15
Outlier Detection for Time Series and Data Sequences,erformed in both these areas, although time-series is the older topic among the two areas. Therefore, a larger number of models are available for continuous time series data. The first work on outlier detection for time series data corresponds to parametric models [Fox, 1972]. Several models were su作者: 信條 時間: 2025-3-25 06:59 作者: Jocose 時間: 2025-3-25 10:05
Outlier Detection for Distributed Data Streams, deployed at various geographic locations and then data is often transmitted to central stations. Similarly, Twitter data can also be considered as distributed data obtained from human sensors spread all across the world. [Zhang et al., 2008] provide a detailed survey for outlier detection technique作者: CLEAR 時間: 2025-3-25 11:44 作者: 無能力 時間: 2025-3-25 16:37
Outlier Detection for Temporal Network Data,tasets (often as relational databases), the networks (or graphs) can capture much more semantics using links between the tuples. Tough effective outlier detection techniques exist for multi-dimensional data, new techniques need to be designed for networks which present a different set of challenges.作者: fatuity 時間: 2025-3-25 22:25
Conclusions and Research Directions,a challenging task due to the dynamic nature and complex evolutionary patterns in the data. A wide variety of models have been developed to capture different facets in temporal data outlier detection. Tis book organized the discussion along different data types, presented various outlier definitions作者: DEFT 時間: 2025-3-26 00:38 作者: ethereal 時間: 2025-3-26 04:47 作者: Morsel 時間: 2025-3-26 08:49
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Hans for investigating (smooth or nonsmooth) elliptic PDEs.Prov.This book provides a modern and comprehensive presentation of a wide variety of problems arising in nonlinear analysis, game theory, engineering, mathematical physics and contact mechanics. It includes recent achievements and puts them int作者: 有害處 時間: 2025-3-26 14:10 作者: organic-matrix 時間: 2025-3-26 17:18 作者: 手勢 時間: 2025-3-26 21:39 作者: 存心 時間: 2025-3-27 04:12 作者: GRAVE 時間: 2025-3-27 08:10
Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Hanter examines the internal enabling environments for training delivery, laying a good foundation for the skills utilisation. In this connection, the findings revealed that the training delivery mechanism had a close link with the world of work in order to facilitate the utilisation of acquired skills作者: Trochlea 時間: 2025-3-27 11:35 作者: 共同時代 時間: 2025-3-27 16:57
e of film phenomenology. In doing so, it advances the field of VR phenomenology. Recognising that film phenomenology has a long tradition in film studies and philosophy, the key purpose of the chapter is to identify the specific aspects of the methodology that can be fully adopted, or adapted, for a作者: 盡忠 時間: 2025-3-27 20:28
2151-0067 cs, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimen作者: NORM 時間: 2025-3-27 22:14 作者: Abbreviate 時間: 2025-3-28 05:51
Book 2014ining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional dat作者: 保守 時間: 2025-3-28 07:01 作者: V洗浴 時間: 2025-3-28 11:11
Conclusions and Research Directions,, and briefly introduced the corresponding techniques. Finally, we also discussed various applications for which these techniques have been successfully used. Tis book provides a number of insights and lessons as follows.作者: 貝雷帽 時間: 2025-3-28 16:15
