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Author: Hai Xin Lu
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 264
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Book Description
Author: Hai Xin Lu
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 264
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Book Description
Author: Beng Chin Ooi
Publisher: Springer Science & Business Media
ISBN: 9783540534747
Category : Computers
Languages : en
Pages : 220
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Book Description
Very Good,No Highlights or Markup,all pages are intact.
Author: Barbara Catania
Publisher: Springer Science & Business Media
ISBN: 3642283233
Category : Technology & Engineering
Languages : en
Pages : 355
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Book Description
This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources. The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.
Author: Hans-Peter Kriegel
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
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Author: MAN-LUNG. YIU
Publisher:
ISBN: 9781361418345
Category :
Languages : en
Pages :
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Book Description
This dissertation, "Advanced Query Processing on Spatial Networks" by Man-lung, Yiu, 姚文龍, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "Advanced Query Processing on Spatial Networks" Submitted by Man Lung Yiu for the degree of Doctor of Philosophy at the University of Hong Kong in February 2006 Recent advances in GPS and mobile communication technologies have al- lowedapplicationstoemergethatcanaccessandexploitlocationinformation about (moving) objects on road networks. Location-based services enable car drivers to search for facilities such as restaurants, shops, and car-parks close to their route. Logistic services monitor the status of delivery vehi- cles and ensure the timely delivery of goods. In this class of applications, both the accessibility and location of objects (e.g., vehicles and facilities) are constrained by the underlying network. The actual distance between two objects is defined by their shortest path distance on the network rather than their Euclidean distance. These network constraints significantly increase the complexity of retrieving spatial query results. Thus, query processing on spatial networks (i.e., road networks) has received considerable attention from database researchers in recent years. In this thesis, we identify three interesting problems and study their eval- uation in the context of spatial networks: (i) aggregate nearest neighbor (ANN) query, (ii) reverse nearest neighbor (RNN) query, and (iii) cluster- ing. Our findings for (i) and (ii) provide meaningful results for end-users, while our results for (iii) provide effective data exploration tools for data analysts. Aggregate nearest neighbor (ANN) queries are generalized from the nearest neighbor problem, allowing a group of mobile users to express individual preferences for reaching the best overall facility (e.g., a restau- rant). Reverse nearest neighbor (RNN) queries are relevant to applications in decision support and resource allocation, enabling users to retrieve data objects locationally influenced by a query object. Clustering can be applied to discover dense collections of data objects, indicating regions of special interest. The process of computing results for these problems on spatial networks is complicated by the shortest path definition of the distance between two ob- jects. Naive evaluation methods may lead to numerous expensive network distance computations, and may not scale well for large networks and large datasets. Our main research objective is the design of appropriate opti- mization techniques for the proposed problems, that incur low I/O cost ofaccessing the spatial network. We also investigate several variants of these problems in order to expand the application scope of our proposed techniques. Variants of ANN queries include aggregate center queries and weighted queries. RNN queries have bichromatic and continuous variants. Clustering is also applicable with sev- eral grouping criteria. An abstract of exactly 388 words Signed Man Lung Yiu DOI: 10.5353/th_b3627936 Subjects: Nearest neighbor analysis (Statistics) Database management Cluster analysis
Author: Ahmed R. Mahmood
Publisher: Springer Nature
ISBN: 3031018672
Category : Computers
Languages : en
Pages : 98
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Book Description
Text data that is associated with location data has become ubiquitous. A tweet is an example of this type of data, where the text in a tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data. Spatial-keyword data is being generated at massive scale. Almost all online transactions have an associated spatial trace. The spatial trace is derived from GPS coordinates, IP addresses, or cell-phone-tower locations. Hundreds of millions or even billions of spatial-keyword objects are being generated daily. Spatial-keyword data has numerous applications that require efficient processing and management of massive amounts of spatial-keyword data. This book starts by overviewing some important applications of spatial-keyword data, and demonstrates the scale at which spatial-keyword data is being generated. Then, it formalizes and classifies the various types of queries that execute over spatial-keyword data. Next, it discusses important and desirable properties of spatial-keyword query languages that are needed to express queries over spatial-keyword data. As will be illustrated, existing spatial-keyword query languages vary in the types of spatial-keyword queries that they can support. There are many systems that process spatial-keyword queries. Systems differ from each other in various aspects, e.g., whether the system is batch-oriented or stream-based, and whether the system is centralized or distributed. Moreover, spatial-keyword systems vary in the types of queries that they support. Finally, systems vary in the types of indexing techniques that they adopt. This book provides an overview of the main spatial-keyword data-management systems (SKDMSs), and classifies them according to their features. Moreover, the book describes the main approaches adopted when indexing spatial-keyword data in the centralized and distributed settings. Several case studies of {SKDMSs} are presented along with the applications and query types that these {SKDMSs} are targeted for and the indexing techniques they utilize for processing their queries. Optimizing the performance and the query processing of {SKDMSs} still has many research challenges and open problems. The book concludes with a discussion about several important and open research-problems in the domain of scalable spatial-keyword processing.
Author: Philippe Rigaux
Publisher: Morgan Kaufmann
ISBN: 9781558605886
Category : Computers
Languages : en
Pages : 444
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Book Description
The authors explore and explain current techniques for handling the specialised data that describes geographical phenomena in a study that will be of great value to computer scientists and geographers working with spatial databases.
Author: Apostolos N. Papadopoulos
Publisher: Springer Science & Business Media
ISBN: 0387275444
Category : Computers
Languages : en
Pages : 179
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Book Description
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Author: Shashi Shekhar
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 296
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Book Description
This text aims to provide students with the basics in the applications and methods of spatial database management systems. It balances theory (cutting-edge research) and practice (commercial trends).
Author: Lei Chen
Publisher: Springer Nature
ISBN: 3031018966
Category : Computers
Languages : en
Pages : 91
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Book Description
Due to measurement errors, transmission lost, or injected noise for privacy protection, uncertainty exists in the data of many real applications. However, query processing techniques for deterministic data cannot be directly applied to uncertain data because they do not have mechanisms to handle data uncertainty. Therefore, efficient and effective manipulation of uncertain data is a practical yet challenging research topic. In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book serves as a comprehensive guideline for query processing over uncertain databases. Table of Contents: Introduction / Uncertain Data Models / Spatial Query Semantics over Uncertain Data Models / Spatial Query Processing over Uncertain Databases / Conclusion
