High Utility Co-location Patterns

Big Data Management - Preference-based Spatial Co-location Pattern Mining ◽

10.1007/978-981-16-7566-9_8 ◽

2022 ◽

pp. 201-222

Author(s):

Lizhen Wang ◽

Yuan Fang ◽

Lihua Zhou

Keyword(s):

Location Patterns ◽

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A Method of Mining Spatial High Utility Co-location Patterns Based on Feature Actual Participation Weight

Journal of Physics Conference Series ◽

10.1088/1742-6596/1168/3/032064 ◽

2019 ◽

Vol 1168 ◽

pp. 032064

Author(s):

Xin Zeng ◽

Jian Yang ◽

Zhenpeng Li ◽

Xiaowei Li

Keyword(s):

Location Patterns ◽

High Utility ◽

Actual Participation

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Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-55699-4_28 ◽

2017 ◽

pp. 458-474 ◽

Author(s):

Lizhen Wang ◽

Wanguo Jiang ◽

Hongmei Chen ◽

Yuan Fang

Keyword(s):

Spatial Data ◽

Data Sets ◽

Location Patterns ◽

Spatial Data Sets ◽

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High Utility Co-location Patterns Mining from Spatial Dataset with Time Interval

2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC) ◽

10.1109/icivc47709.2019.8981029 ◽

2019 ◽

Author(s):

Xin Zeng ◽

Zhenpeng Li ◽

Jianming Wang ◽

Xiaowei Li

Keyword(s):

Time Interval ◽

Location Patterns ◽

High Utility ◽

Spatial Dataset

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Effectively Updating High Utility Co-location Patterns in Evolving Spatial Databases

Web-Age Information Management - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39937-9_6 ◽

2016 ◽

pp. 67-81 ◽

Author(s):

Xiaoxuan Wang ◽

Lizhen Wang ◽

Junli Lu ◽

Lihua Zhou

Keyword(s):

Spatial Databases ◽

Location Patterns ◽

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A framework for mining spatial high utility co-location patterns

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2015.7382010 ◽

2015 ◽

Author(s):

Shisheng Yang ◽

Lizhen Wang ◽

Xuguang Bao ◽

Junli Lu

Keyword(s):

Location Patterns ◽

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Mining High Utility Co-location Patterns Based on Importance of Spatial Region

Communications in Computer and Information Science - Geo-Spatial Knowledge and Intelligence ◽

10.1007/978-981-13-0896-3_5 ◽

2018 ◽

pp. 43-55

Author(s):

Jiasong Zhao ◽

Lizhen Wang ◽

Peizhong Yang ◽

Hongmei Chen

Keyword(s):

Spatial Region ◽

Location Patterns ◽

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EHUCM: An Efficient Algorithm for Mining High Utility Co-location Patterns from Spatial Datasets with Feature-specific Utilities

10.1007/978-3-030-86472-9_17 ◽

2021 ◽

pp. 185-191

Author(s):

Yinqiao Li ◽

Lizhen Wang ◽

Peizhong Yang ◽

Junyi Li

Keyword(s):

Efficient Algorithm ◽

Spatial Datasets ◽

Location Patterns ◽

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High Utility Co-location Patterns with Instance Utility

Big Data Management - Preference-based Spatial Co-location Pattern Mining ◽

10.1007/978-981-16-7566-9_9 ◽

2022 ◽

pp. 223-240

Author(s):

Lizhen Wang ◽

Yuan Fang ◽

Lihua Zhou

Keyword(s):

Location Patterns ◽

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Mining High Utility Co-location Patterns Using the Maximum Clique and the Subsume Index

Proceedings of the 2020 2nd International Conference on Big Data Engineering ◽

10.1145/3404512.3404516 ◽

2020 ◽

Author(s):

Wei Song ◽

Qian Qiao

Keyword(s):

Maximum Clique ◽

Location Patterns ◽

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Novel Algorithm for High Utility Itemset Mining: A Review

International Journal of Innovative Research in Computer and Communication Engineering ◽

10.15680/ijircce.2015.0306050 ◽

2015 ◽

Vol 03 (06) ◽

pp. 5496-5499

Author(s):

Nilesh Vani, Yamini Jawale

Keyword(s):

Itemset Mining ◽

High Utility ◽

Novel Algorithm

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