標題: Titlebook: Learning Analytics in R with SNA, LSA, and MPIA; Fridolin Wild Book 2016 Springer International Publishing Switzerland 2016 Latent Semanti [打印本頁] 作者: 珍愛 時間: 2025-3-21 19:44
書目名稱Learning Analytics in R with SNA, LSA, and MPIA影響因子(影響力)
書目名稱Learning Analytics in R with SNA, LSA, and MPIA影響因子(影響力)學科排名
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書目名稱Learning Analytics in R with SNA, LSA, and MPIA網絡公開度學科排名
書目名稱Learning Analytics in R with SNA, LSA, and MPIA被引頻次
書目名稱Learning Analytics in R with SNA, LSA, and MPIA被引頻次學科排名
書目名稱Learning Analytics in R with SNA, LSA, and MPIA年度引用
書目名稱Learning Analytics in R with SNA, LSA, and MPIA年度引用學科排名
書目名稱Learning Analytics in R with SNA, LSA, and MPIA讀者反饋
書目名稱Learning Analytics in R with SNA, LSA, and MPIA讀者反饋學科排名
作者: embolus 時間: 2025-3-21 20:54
http://image.papertrans.cn/l/image/582686.jpg作者: Flirtatious 時間: 2025-3-22 03:48
https://doi.org/10.1007/978-3-319-28791-1Latent Semantic Analysis; Learning; Learning Analytics; Linear Algebra; Social Network Analysis作者: Paraplegia 時間: 2025-3-22 08:09 作者: Wernickes-area 時間: 2025-3-22 11:41 作者: Fortuitous 時間: 2025-3-22 14:27 作者: FLING 時間: 2025-3-22 19:33 作者: macrophage 時間: 2025-3-22 22:42
Erratum to: Learning Analytics in R with SNA, LSA, and MPIA,作者: overweight 時間: 2025-3-23 03:20
Fridolin Wildhese new techniques ranging from mineral identification, mapping of expansive soils, land degradation, agricultural crops, natural vegetation and surface water quality. .Additional information on extras.springer.com.Sample hyperspectral remote sensing data sets and ENVI viewing software (Freelook) a作者: 冰雹 時間: 2025-3-23 08:54 作者: 客觀 時間: 2025-3-23 13:28 作者: ENACT 時間: 2025-3-23 14:24 作者: duplicate 時間: 2025-3-23 19:34
Fridolin Wilderistics is not explicit..The second approach is based on model inversion. Preliminary results indicate that it can provide good estimates of both leaf chlorophyll concentration and water equivalent thickness. However, the inversion process has to be stabilized to get reasonable values of canopy str作者: 秘密會議 時間: 2025-3-24 00:58 作者: 有限 時間: 2025-3-24 02:36
Fridolin Wildrge series of clinical cases, with a wealth of images. Guidance is provided on selection of one or a combination of imaging modalities. This book will be an invaluable clinical and research tool not only for neuroradiologists but also for neurosurgeons,?and interventional radiologists..978-88-470-3940-7978-88-470-5391-5作者: triptans 時間: 2025-3-24 07:01 作者: 昆蟲 時間: 2025-3-24 12:24 作者: Cervical-Spine 時間: 2025-3-24 15:51
Book 2016and the learner’s journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning...?.作者: Individual 時間: 2025-3-24 20:19 作者: chandel 時間: 2025-3-25 01:56
n and surface water quality. .Additional information on extras.springer.com.Sample hyperspectral remote sensing data sets and ENVI viewing software (Freelook) a978-94-017-3898-9978-0-306-47578-8Series ISSN 1567-3200 Series E-ISSN 2215-1842 作者: olfction 時間: 2025-3-25 03:32 作者: Sinus-Rhythm 時間: 2025-3-25 08:47 作者: bypass 時間: 2025-3-25 15:34 作者: HEAVY 時間: 2025-3-25 18:14 作者: 容易生皺紋 時間: 2025-3-25 22:22
Meaningful, Purposive Interaction Analysis,tions are discussed subsequently. Working examples illustrate how the matrix theory foundations (and the higher level transformations making use of it) relate to the incidence matrices of the social network analysis and latent semantic analysis constituents.作者: 刻苦讀書 時間: 2025-3-26 03:46
Calibrating for Specific Domains,nges, and degrees of specialisation. Trends indicate that the smaller the corpus, the more domain-specific documents are required. Moreover, recommendations for vocabulary filtering can be derived, dependent on the size of the corpus.作者: 強所 時間: 2025-3-26 04:56 作者: Interferons 時間: 2025-3-26 10:21 作者: mechanical 時間: 2025-3-26 12:50
Introduction,n this chapter to set the stage: epistemic theory, algorithms for representation/visualization/analysis, and, finally, the application area of Learning Analytics. The chapter is rounded up by an overview over the book.作者: 矛盾 時間: 2025-3-26 20:47 作者: Impugn 時間: 2025-3-26 22:26 作者: 埋伏 時間: 2025-3-27 02:26
Visual Analytics Using Vector Maps as Projection Surfaces,e colouring in order to help create conceptual landscape visualizations. The means presented here complement the analytical processes introduced in the previous chapter with a powerful visual instrument. When combined, the two provide means to analyse social semantic performance networks.作者: agenda 時間: 2025-3-27 07:25
Implementation: The MPIA Package, of learners, while at the same time introducing re-representation mechanisms for visual analytics to guide and support decision-making about and during learning. Use case and activity diagrams of an idealized analysis workflow foster understanding of how MPIA analysis processes can be conducted.作者: 數量 時間: 2025-3-27 12:03 作者: 哎呦 時間: 2025-3-27 15:59
Introduction,nstruments for further analysis and visualization, therewith supporting guidance and decision-making about and during learning. Within this introduction, the scope of the book is further refined. An introduction to the learning technology software market is followed by a characterization of the rese作者: 墊子 時間: 2025-3-27 20:31
Learning Theory and Algorithmic Quality Characteristics,o the one algorithmic model created with the help of this theory and further detailed in this book, a novel algorithm called ‘meaningful purposive interaction analysis’. Conceptually, it is grounded in methodical culturalism and its novelty is to extend this culturalist information theory with the c作者: ADAGE 時間: 2025-3-27 22:10 作者: 陰郁 時間: 2025-3-28 03:54
Representing and Analysing Meaning with LSA,ion being a natural candidate for further integration. The chapter starts with its mathematical foundations, then provides an overview on the standard analysis workflow (with the package developed), also guiding through the standard use cases. Two demos follow subsequently to foster understanding an作者: Mosaic 時間: 2025-3-28 07:15
Meaningful, Purposive Interaction Analysis, latent semantic analysis will be explored in order to make visible where MPIA goes beyond the sum of these predating methods. It therefore, first, revisits essential theorems about matrix algebra, as a side effect introducing also the basic mathematic vocabulary used in this section. Then, Eigensys作者: 其他 時間: 2025-3-28 10:52
Visual Analytics Using Vector Maps as Projection Surfaces,ys. It proposes methods for link erosion, planar projection (with monotonic convergence!), kernel smoothening, and a hypsometric colour scheme for tile colouring in order to help create conceptual landscape visualizations. The means presented here complement the analytical processes introduced in th作者: 孵卵器 時間: 2025-3-28 15:51
Calibrating for Specific Domains,s (such as information retrieval or recommender systems). In settings that require precision in representation structure (such as in essay scoring or for conceptual relationship mining), however, improved means to predict model behaviour from parameter settings could ease applicability and increase 作者: 人充滿活力 時間: 2025-3-28 20:09 作者: intention 時間: 2025-3-29 01:33 作者: 不要不誠實 時間: 2025-3-29 03:54 作者: 含糊其辭 時間: 2025-3-29 10:24 作者: 排斥 時間: 2025-3-29 11:50 作者: 使人入神 時間: 2025-3-29 16:38 作者: output 時間: 2025-3-29 21:25
Fridolin Wildlected solar radiance from the earth in many narrow spectral bands. Such a spectroscopical imaging system is capable of detecting subtle absorption bands in the reflectance spectra and measure the reflectance spectra of various objects with a very high accuracy. As a result, imaging spectrometry ena作者: kidney 時間: 2025-3-30 03:57
Fridolin Wildeasure reflected solar radiance from the earth in many narrow spectral bands. Such a spectroscopical imaging system is capable of detecting subtle absorption bands in the reflectance spectra and measure the reflectance spectra of various objects with a very high accuracy. As a result, imaging spectr作者: 才能 時間: 2025-3-30 05:55
Fridolin Wildlected solar radiance from the earth in many narrow spectral bands. Such a spectroscopical imaging system is capable of detecting subtle absorption bands in the reflectance spectra and measure the reflectance spectra of various objects with a very high accuracy. As a result, imaging spectrometry ena
