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001443608 001__ 1443608
001443608 003__ OCoLC
001443608 005__ 20230310003553.0
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001443608 020__ $$a9789811675669$$q(electronic bk.)
001443608 020__ $$a981167566X$$q(electronic bk.)
001443608 020__ $$z9789811675652
001443608 020__ $$z9811675651
001443608 0247_ $$a10.1007/978-981-16-7566-9$$2doi
001443608 035__ $$aSP(OCoLC)1291317151
001443608 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dDCT$$dOCLCF$$dDKU$$dUKAHL$$dOCLCQ
001443608 049__ $$aISEA
001443608 050_4 $$aQA76.9.D343$$bW36 2022
001443608 08204 $$a006.3/12$$223
001443608 1001_ $$aWang, Lizhen,$$eauthor.
001443608 24510 $$aPreference-based spatial co-location pattern mining /$$cLizhen Wang, Yuan Fang, Lihua Zhou.
001443608 264_1 $$aSingapore :$$bSpringer ;$$aBeijing :$$bScience Press,$$c[2022]
001443608 264_4 $$c©2022
001443608 300__ $$a1 online resource (307 pages).
001443608 336__ $$atext$$btxt$$2rdacontent
001443608 337__ $$acomputer$$bc$$2rdamedia
001443608 338__ $$aonline resource$$bcr$$2rdacarrier
001443608 347__ $$atext file$$bPDF$$2rda
001443608 4901_ $$aBig data management
001443608 504__ $$aIncludes bibliographical references.
001443608 5050_ $$aChapter 1: Introduction -- Chapter 2: Maximal Prevalent Co-location Patterns -- Chapter 3: Maximal Sub-prevalent Co-location Patterns -- Chapter 4: SPI-Closed Prevalent Co-location Patterns -- Chapter 5: Top-k Probabilistically Prevalent Co-location Patterns -- Chapter 6: Non-Redundant Prevalent Co-location Patterns -- Chapter 7: Dominant Spatial Co-location Patterns -- Chapter 8: High Utility Co-location Patterns -- Chapter 9: High Utility Co-location Patterns with Instance Utility -- Chapter 10: Interactively Post-mining User-preferred Co-location Pat-terns with a Probabilistic Model -- Chapter 11: Vector-Degree: A General Similarity Measure for Spatial Co-Location Patterns.
001443608 506__ $$aAccess limited to authorized users.
001443608 520__ $$aThe development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
001443608 588__ $$aDescription based upon print version of record.
001443608 650_0 $$aSpatial data mining.
001443608 655_0 $$aElectronic books.
001443608 7001_ $$aFang, Yuan,$$eauthor.
001443608 7001_ $$aZhou, Lihua,$$eauthor.
001443608 77608 $$iPrint version:$$aWang, Lizhen$$tPreference-Based Spatial Co-location Pattern Mining$$dSingapore : Springer Singapore Pte. Limited,c2022$$z9789811675652
001443608 830_0 $$aBig data management.
001443608 852__ $$bebk
001443608 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7566-9$$zOnline Access$$91397441.1
001443608 909CO $$ooai:library.usi.edu:1443608$$pGLOBAL_SET
001443608 980__ $$aBIB
001443608 980__ $$aEBOOK
001443608 982__ $$aEbook
001443608 983__ $$aOnline
001443608 994__ $$a92$$bISE