NDLI: CODEM: A Novel Spatial Co-location and De-location Patterns Mining Algorithm

Content Provider	IEEE Xplore Digital Library
Author	You Wan Jiaogen Zhou Fuling Bian
Copyright Year	2008
Description	Author affiliation: Int. Sch. of Software, Wuhan Univ., Wuhan (You Wan; Fuling Bian) \|\| Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing (Jiaogen Zhou)
Abstract	Spatial co-location and de-location patterns represent subsets of Boolean spatial feature types whose instances are often located in close/separate geographic proximity. Existing literatures pay more attention on mining colocation patterns based on distance threshold spatial relation. In this paper, we proposed a novel co-location and de-location patterns mining algorithm (CODEM) to discover useful co-location and de-location patterns in large spatial datasets. We used k nearest features (k-NF) to measure spatial close/separate relationships of colocation/de-location patterns in spatial datasets. The k-NF set of one feature type's instances was used to evaluate the close/separation relationship between other features and one feature. Then, a correlation checking operation was adopted to filter the uninteresting patterns, and moreover a grid index method was used to accelerate the k nearest features query, while a T-tree (Total support tree) structure was also used to compress the candidate frequent and infrequent item sets, and generate patterns efficiently. Experimental results prove that the algorithm is accurate and efficient, has a time complexity of O(n).
Starting Page	576
Ending Page	580
File Size	299006
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering spatial co-location pattern Software algorithms Agricultural engineering Data mining Association rules Application software Remote sensing Itemsets spatial de-location pattern k nearest feature Agriculture CODEM algorithm Fuzzy systems
Content Type	Text
Resource Type	Article

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