Information reuse and integration in academia and industry /
- 出版日期：c2013.
- 出版者：Springer,
- 页数：xii, 306 p. :
- 出版地：Wien :
- 第一责任说明：Tansel Özyer ... [et al.].
- 尺寸：25 cm.
- 分类号：a847.6
- ISBN：978-3-7091-1537-4(hdk.) :
MARC全文
02h0039105 20141115091637.0 140903s2013 au a frb |001|||eng | 978-3-7091-1537-4(hdk.) : CNY862.00 DKDLA eng pn DKDLA GW5XE ; IDEBK ; GZM ; ZMC ; CDX ; COO ; OHS ; NLGGC ; GGVRL ; N$T ; CNNGL QA76.9.D338 005.73 23 a847.6 aTP311.131 v4 Information reuse and integration in academia and industry / Tansel Özyer ... [et al.]. Wien : Springer, c2013. xii, 306 p. : ill. ; 25 cm. Includes bibliographical references and index. Mediators, Concepts and Practice / ; A Combination Framework for Exploiting the Symbiotic Aspects of Process and Operational Data in Business Process Optimization / ; Efficient Range Query Processing on Complicated Uncertain Data / ; Invariant Object Representation Based on Inverse Pyramidal Decomposition and Modified Mellin-Fourier Transform / ; Model Checking State Machines Using Object Diagrams / ; Measuring Stability of Feature Selection Techniques on Real-World Software Datasets / ; Analysis and Design: Towards Large-Scale Reuse and Integration of Web User Interface Components / ; Which Ranking for Effective Keyword Search Query over RDF Graphs? / ; ReadFast: Structural Information Retrieval from Biomedical Big Text by Natural Language Processing / ; Multiple Criteria Decision Support for Software Reuse: An Industrial Case Study / ; Using Local Principal Components to Explore Relationships Between Heterogeneous Omics Datasets / ; Towards Collaborative Forensics / ; From Increased Availability to Increased Productivity: How Researchers Benefit from Online Resources / ; Integration of Semantics Information and Clustering in Binary-Class Classification for Handling Imbalanced Multimedia Data / Gio Wiederhold -- ; Sylvia Radeschutz, Holger Schwarz -- ; Andrew Knight, Qi Yu, Manjeet Rege -- ; R. Kountchev, S. Rubin, M. Milanova -- ; Thouraya Bouabana-Tebibel -- ; Huanjing Wang, Taghi M. Khoshgoftaar -- ; Hao Han, Peng Gao, Yinxing Xue, Chuanqi Tao -- ; Roberto De Virgilio -- ; Michael Gubanov, Linda Shapiro, Anna Pyayt -- ; Alejandra Yepez Lopez -- ; Noor Alaydie, Farshad Fotouhi -- ; Mike Mabey, Gail-Joon Ahn -- ; Joe Strathern, Samer Awadh, Samir Chokshi -- ; Chao Chen, Mei-Ling Shyu. The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings. The need for dealing with the large volumes of data being produced and stored in the last decades and the numerous systems developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt new technologies and needs. Instead of building these from scratch, researchers in the academia and industry have realized the benefits of reusing existing components that have been well tested. While this trend avoids reinventing the wheel, it comes at the cost of finding the optimum set of existing components to be utilized and how they should be integrated together and with the new non-existing components which are to be developed. These nontrivial tasks have led to challenging research problems in the academia and industry. These issues are addressed in this book, which is intended to be a unique resource for researchers, developers and practitioners. Data integration (Computer science) ; Computer science. ; Information systems. aÖzyer, Tansel. aCN b010001 010001 847.6 O9 gljx1404 h1 ; rCNY862.00