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Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets

https://doi.org/10.1109/tkde.2011.256

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What this work says

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Models for Incomplete and Probabilistic Information

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Discovering Spatial Co-location Patterns: A Summary of Results

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Knowledge Discovery in Spatial Databases

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Discovery of spatial association rules in geographic information databases

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Efficiently Mining Co-Location Rules on Interval Data

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Distributed Frequent Items Detection on Uncertain Data

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Knowledge Discovery in Spatial Databases

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Mining Co-Location Patterns with Rare Events from Spatial Data Sets

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Efficient discovery of multilevel spatial association rules using partitions

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An order-clique-based approach for mining maximal co-locations

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A new join-less approach for co-location pattern mining

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Constrained frequent itemset mining from uncertain data streams

inferredcites →https://doi.org/10.1109/tkde.2004.90openalex-snapshot

Discovering colocation patterns from spatial data sets: a general approach

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A Joinless Approach for Mining Spatial Colocation Patterns

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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets

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A Survey of Uncertain Data Algorithms and Applications

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Fast mining of spatial collocations

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A partial join approach for mining co-location patterns

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Finding frequent items in probabilistic data

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Density based co-location pattern discovery

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Frequent pattern mining with uncertain data

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Probabilistic frequent itemset mining in uncertain databases

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Mining frequent neighboring class sets in spatial databases

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Mining confident co-location rules without a support threshold

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Vertical Mining of Frequent Patterns from Uncertain Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Uncertain Spatial Data Management: An Overview

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Extracting Prevalent Co-location Patterns from Historic Spatial Data

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Mining Co-locations from Spatially Uncertain Data with Probability Intervals

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Mining Co-locations under Uncertainty

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UMine: Study on Prevalent Co-locations Mining from Uncertain Data Sets

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Introduction

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Interactively Post-mining User-Preferred Co-location Patterns with a Probabilistic Model

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Maximal Prevalent Co-location Patterns

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Maximal Sub-prevalent Co-location Patterns

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SPI-Closed Prevalent Co-location Patterns

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High Utility Co-location Patterns with Instance Utility

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