Titlebook: Visual Data Mining; Theory, Techniques a Simeon J. Simoff,Michael H. B?hlen,Arturas Mazeika Book 2008 Springer-Verlag Berlin Heidelberg 200

Intermediary

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

細(xì)微的差異

Hyperalgesia

SPECT

描述

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.

虛度

杠桿

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.

純樸

微生物

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.

安心地散步

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..