標(biāo)題: Titlebook: Visual Data Mining; Theory, Techniques a Simeon J. Simoff,Michael H. B?hlen,Arturas Mazeika Book 2008 Springer-Verlag Berlin Heidelberg 200 [打印本頁] 作者: Intermediary 時間: 2025-3-21 19:45
書目名稱Visual Data Mining影響因子(影響力)
書目名稱Visual Data Mining影響因子(影響力)學(xué)科排名
書目名稱Visual Data Mining網(wǎng)絡(luò)公開度
書目名稱Visual Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Visual Data Mining被引頻次
書目名稱Visual Data Mining被引頻次學(xué)科排名
書目名稱Visual Data Mining年度引用
書目名稱Visual Data Mining年度引用學(xué)科排名
書目名稱Visual Data Mining讀者反饋
書目名稱Visual Data Mining讀者反饋學(xué)科排名
作者: 細(xì)微的差異 時間: 2025-3-21 21:14 作者: Hyperalgesia 時間: 2025-3-22 00:49 作者: SPECT 時間: 2025-3-22 07:09 作者: 描述 時間: 2025-3-22 12:45
Visual Analytics: Scope and Challengeslytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, addresses the most important research challenges and presents use cases from a wide variety of application scenarios.作者: 虛度 時間: 2025-3-22 16:40 作者: 杠桿 時間: 2025-3-22 20:13
Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Datament via a dedicated server. The second one was based on the analysis of an evaluation questionnaire, filled by each participant that performed the tests. The chapter presents the results and the issues raised by the experiments.作者: 純樸 時間: 2025-3-23 01:06 作者: 微生物 時間: 2025-3-23 02:37
Context Visualization for Visual Data Miningtion techniques supporting visual data mining in general as well as for visual preservation of context and history information. Algorithms are also described in supporting such methodology for visual data mining in real time.作者: 安心地散步 時間: 2025-3-23 06:52
Book 2008tions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications..作者: yohimbine 時間: 2025-3-23 12:47
0302-9743 1 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications..978-3-540-71080-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: altruism 時間: 2025-3-23 14:54 作者: Phenothiazines 時間: 2025-3-23 20:11
The 3DVDM Approach: A Case Study with Clickstream Data a comprehensive description of behaviors of users. Clickstreams, however, are large and raise a number of unique challenges with respect to visual data mining. At the technical level the huge amount of data requires scalable solutions and limits the presentation to summary and model data. Equally c作者: Brittle 時間: 2025-3-24 01:47 作者: Ophthalmoscope 時間: 2025-3-24 04:26
A Methodology for Exploring Association Modelsion of association rule models. One aim is to provide the user with a tool that enables the exploration of a large set of association rules. The method is inspired by the hypertext metaphor. The initial set of rules is dynamically divided into small comprehensible sets or pages, according to the int作者: prosthesis 時間: 2025-3-24 10:19 作者: electrolyte 時間: 2025-3-24 10:54 作者: 淘氣 時間: 2025-3-24 15:17 作者: 放肆的我 時間: 2025-3-24 22:37
Visual Mining of Association Rulesluable information for many application fields such as marketing, credit scoring, business, etc. The counterpart is that a massive effort is required (due to the large number of rules usually mined) in order to make actionable the retained knowledge. In this framework vizualization tools become esse作者: Exhilarate 時間: 2025-3-25 01:33 作者: 秘密會議 時間: 2025-3-25 07:09
Visual Methods for Examining SVM Classifiersighly accurate results in complex classification problems, for example, gene expression analysis. The SVM algorithm is also quite intuitive with a few inputs to vary in the fitting process and several outputs that are interesting to study. For many data mining tasks (e.g., cancer prediction) finding作者: 整潔漂亮 時間: 2025-3-25 07:49 作者: MIRE 時間: 2025-3-25 11:53 作者: MORPH 時間: 2025-3-25 16:24
Mining Patterns for Visual Interpretation in a Multiple-Views Environmentent an innovative framework named Visualization Tree in order to integrate multiple data visualizations assisted by novel visual exploration techniques. These exploration techniques are named Frequency Plot, Relevance Plot and Representative Plot, and are integrated according the proposed Visualizat作者: Arctic 時間: 2025-3-25 20:31 作者: DOSE 時間: 2025-3-26 03:03 作者: Glossy 時間: 2025-3-26 07:57
Context Visualization for Visual Data Mininghe preservation of context and history information in the visualization can improve user comprehension of the exploration process as well as enhance the reusability of mining techniques and parameters to archive the desired results. This chapter presents methodology and various interactive visualiza作者: Abrade 時間: 2025-3-26 08:57 作者: 泰然自若 時間: 2025-3-26 14:40
Immersive Visual Data Mining: The 3DVDM Approache use a specific data set to illustrate how the visualization tools of the 3D Visual Data Mining (3DVDM) system can assist in detecting potentially interesting non-linear data relationships that are hard to discover using traditional statistical methods of analysis. These detected data structures ca作者: 慢跑 時間: 2025-3-26 17:18
DataJewel: Integrating Visualization with Temporal Data Mining component and a database component. We introduce a new visualization technique called CalendarView as an implementation of the visualization component, and we introduce a data structure that supports temporal mining of large databases. In our architecture, algorithms can be tightly integrated with 作者: LEVER 時間: 2025-3-26 23:40
Book 2008a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected...This book aims at addressing this need. Through a collection of 21 contribu作者: 駕駛 時間: 2025-3-27 01:13
The 3DVDM Approach: A Case Study with Clickstream Dataowever, the step from statistical charts to comprehensive information about customer behavior is still largely unresolved. We propose a density surface based analysis of 3D data that uses state-of-the-art interaction techniques to explore the data at various granularities.作者: 未開化 時間: 2025-3-27 08:18 作者: 愛花花兒憤怒 時間: 2025-3-27 10:44 作者: 大包裹 時間: 2025-3-27 14:25 作者: Trabeculoplasty 時間: 2025-3-27 21:39
Visual Methods for Examining SVM Classifiersalgorithms in data mining. We present the use of tour-based methods to plot aspects of the SVM classifier. This approach provides insights about the cluster structure in the data, the nature of boundaries between clusters, and problematic outliers. Furthermore, tours can be used to assess the variab作者: 凝乳 時間: 2025-3-28 00:52
Text Visualization for Visual Text Analyticsxt clustering techniques which serve only to partition text corpora into sets of related items, these so-called . methods also typically strive to depict detailed inter- and intra-set similarity structure. Text analytics software typically couples semantic mapping techniques with additional visualiz作者: 形容詞詞尾 時間: 2025-3-28 03:25 作者: 思想靈活 時間: 2025-3-28 07:11
Assisting Human Cognition in Visual Data Miningesents two strategies addressing the subjective bias: “guided cognition” and “validated cognition”, which result in two types of visual data mining techniques: interaction with visual data representations, mediated by statistical techniques, and validation of the hypotheses coming as an output of th作者: Platelet 時間: 2025-3-28 14:11
Immersive Visual Data Mining: The 3DVDM Approachears’ field of hearing is larger than the eyes’ field of view, and thus is able to inform us on events happening in areas that we cannot see. The audio-visual tools in the 3DVDM system are tested and the effectiveness of them is discussed for situations where sound acts as support for visual explora作者: 尾隨 時間: 2025-3-28 18:22
DataJewel: Integrating Visualization with Temporal Data Miningor displaying both data and patterns to make it more intuitive for the user to identify useful patterns while exploring data interactively or while using algorithms to search for patterns. Our experiments in analyzing several large datasets from the airplane maintenance domain demonstrate the useful作者: 糾纏,纏繞 時間: 2025-3-28 22:26 作者: AIL 時間: 2025-3-28 23:33 作者: Factual 時間: 2025-3-29 04:05 作者: 增強 時間: 2025-3-29 11:18 作者: Arctic 時間: 2025-3-29 11:47 作者: minion 時間: 2025-3-29 15:40
Daniel A. Keim,Florian Mansmann,J?rn Schneidewind,Jim Thomas,Hartmut Zieglerutionstheoretische Rechtfertigung überhaupt für Rangeinteilungen von Gruppen — die Argumentation der Rekapitulationstheorie, die h?ufig in der zungenbrecherischen Aussage ?.? zusammengefa?t wird. Zweitens eine bestimmte evolutionstheoretische Hypothese über die biologische Bestimmtheit des kriminell作者: inchoate 時間: 2025-3-29 23:33 作者: 碎石 時間: 2025-3-30 00:08 作者: Offstage 時間: 2025-3-30 05:26 作者: cleaver 時間: 2025-3-30 09:15
Monique Noirhomme-Fraiture,Olivier Sch?ller,Christophe Demoulin,Simeon J. Simofftschaftskrise von 1929/31 l?ste mit den Banking Acts of 1933 und 1935 eine weitere grundlegende Reform der gesetzlichen Bestim- mungen aus. Erstmals wurde auch der Kapitalmarkt in die Regulierungen mit ein- bezogen. Die wichtigsten Ergebnisse dieser Reform waren die Errichtung der Securities and Exchange Comm978-3-322-96163-1978-3-322-96301-7作者: 不透明性 時間: 2025-3-30 14:42 作者: 滔滔不絕地說 時間: 2025-3-30 18:44
Henrik R. Nagel,Erik Granum,S?ren Bovbjerg,Michael Vittrupr Regelung jemals Gebrauch gemacht.. Ansto? für die Verbreitung von Konzernbilanzen in Deutschland gab erst das Gesetz Nr.27 “Umgestaltung des deutschen Kohlenbergbaus und der deutschen Stahl- und Eisenindustrie” des Rates der alliierten Kommission vom 16.05.1950., welches den betreffenden Unternehm作者: strain 時間: 2025-3-30 23:32
Doina Caragea,Dianne Cook,Hadley Wickham,Vasant Honavar作者: Insensate 時間: 2025-3-31 02:41
John Risch,Anne Kao,Stephen R. Poteet,Y. -J. Jason Wu作者: foreign 時間: 2025-3-31 09:06
Simeon J. Simoff,Michael H. B?hlen,Arturas Mazeika作者: 聯(lián)想 時間: 2025-3-31 11:45
Mihael Ankerst,Anne Kao,Rodney Tjoelker,Changzhou Wang作者: CAGE 時間: 2025-3-31 16:34
Simeon J. Simoff,Michael H. B?hlen,Arturas Mazeika作者: Limousine 時間: 2025-3-31 17:59 作者: fluffy 時間: 2025-4-1 01:28
