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- Discovering and Quantifying Mean Streets: A Summary of Results Technical Report
- Should SDBMS Support a Join Index?: A Case study from CrimeStat
- Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar
- Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
- Evacuation Route Planning: Scalable Heuristics Department of Computer
- Processing In-Route Nearest Neighbor Queries: A Comparison of Alternative Approaches *
- Cheng et al. 1 Evaluation of Digital Maps for Road User Charging Applications
- Cascading spatio-temporal pattern discovery: A summary of results Pradeep Mohan, Shashi Shekhar
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Mixed-Drove Spatio-Temporal Co-occurrence
- Mixed-Drove Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Mete Celik1
- Modeling Spatio-temporal Network Computations: A Summary of Results
- Spatio-Temporal Sensor Graphs (STSG): A Data Model for the Discovery of Spatio-Temporal Patterns
- Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations
- A Critical-Time-Point Approach to All-start-time Lagrangian Shortest Paths: A
- Map Cube: A Visualization Tool for Spatial Data Warehouses S. Shekhar, C. T. Lu, X. Tan, S. Chawla, R. R. Vatsavai
- Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar , ChangTien Lu y , Pusheng Zhang, Rulin Liu
- Implementation Application SystemBlocks
- High Performance Geographic Information Systems: Experiences with a Shared Address Space Architecture \Lambda
- DRAFT Chapter 7 Introduction to Spatial Data Mining
- Trends in Spatial Data Shashi Shekhar , Pusheng Zhang , Yan Huang , Ranga
- Discovering Teleconnected Flow Anomalies: A Relationship Analysis of Dynamic neighborhoods
- Mining TimeProfiled Associations: An Extended Abstract
- ``chawlas'' Modeling Spatial
- Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results
- WHAT'S SPATIAL ABOUT SPATIAL DATA MINING: THREE CASE STUDIES
- Discovering Spatial Colocation Patterns: A Summary of Results
- Mining Confident Colocation Rules without A Support Yan Huang, Hui Xiong, Shashi Shekhar
- Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data
- Dictionary Design Algorithms for Vector Map Compression Shashi Shekhar, Yan Huang, Judy Djugash
- Declustering and LoadBalancing Methods for Parallelizing Geographic Information Systems \Lambda
- DRAFT Chapter 3 Spatial Query Languages
- Efficient JoinIndexBased SpatialJoin Processing: A Clustering Approach
- A Joinless Approach for Colocation Pattern Mining: A Summary of Results Jin Soung Yoo , Shashi Shekhar, Mete Celik
- Equivalence Classes of Direction Objects and Applications \Lambda Shashi Shekhar, Xuan Liu, Sanjay Chawla
- An Object Model of Direction And Its Implications \Lambda Shashi Shekhar, Xuan Liu, Sanjay Chawla
- Processing Objectorientationbased Direction Queries: A summary of Results
- A Partial Join Approach for Mining Colocation Patterns # Jin Soung Yoo
- MirrorImage Round Robin Spatial Data Partitioning
- DRAFT Chapter 1 Introduction to spatial databases
- Modeling Spatial Dependencies for Mining Geospatial Data: An Introduction
- 1 Introduction 1 1.1 Introduction to GIS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1
- Discovering Flow Anomalies: A SWEET Approach James M. Kang1
- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Re ne Approach
- Consistency Checking for Euclidean Spatial Constraints: A Dimension Graph Approach
- Exploiting Spatial Autocorrelation to Eciently Process Correlation-Based Similarity Queries
- A Parallel Formulation of the Spatial AutoRegression Model for Mining Large GeoSpatial Datasets +
- Path Computation Algorithms for Advanced Traveller Information System Shashi Shekhar, Ashim Kohli, and Mark Coyle
- Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results
- Snapshots of the Network (Travel Time Series)[Edge Time Series]
- NEW GENERATION OF DATA MINING APPLICA-NEW GENERATION OF DATA MIN-
- Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
- Generalization by Neural Networks Shashi Shekhar
- Materialization TradeOffs in Hierarchical Shortest Path Algorithms
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 NORTHSTAR: A Parameter Estimation
- Consistency Checking for Euclidean Spatial Constraints: A Dimension Graph Approach \Lambday
- Vector Map Compression: A Clustering Approach Shashi Shekhar, Yan Huang, Judy Djugash, Changqing Zhou y
- A Join-less Approach for Co-location Pattern Mining: A Summary of Results Jin Soung Yoo
- Discovery of Co-evolving Spatial Event Sets Jin Soung Yoo
- Direction as a Spatial Object: A Summary of Results \Lambda Shashi Shekhar, Xuan Liu
- Detecting GraphBased Spatial Outliers: Algorithms and Applications(A Summary of Results) y
- A Tour Of Spatial Databases August, 2001
- Partitioning Similarity Graphs : A Framework for Declustering Problems \Lambda
- Contraflow Network Reconfiguration for Evacuation Planning: A Summary of Results
- Processing ObjectOrientationbased Direction Queries in Spatial Databases \Lambday
- Optimizing Join Index Based SpatialJoin Processing: A Graph Partitioning Approach
- SPATIAL DATABASES INTRODUCTION
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Discovering Co-location Patterns from Spatial
- N1 N3N2 N1 N3N2 N1 N3 N1 N3
- In-Route Nearest Neighbor Queries Jin Soung Yoo Shashi Shekhar
- A Partial Join Approach for Mining Co-location Patterns Jin Soung Yoo
- A Lagrangian Approach for Storage of Spatio-Temporal Network Datasets: A Summary of Results
- Spatial Databases: Accomplishments and Research Needs S. Shekhar, S. Chawla, S. Ravada
- Mining Time-Profiled Associations: An Extended Abstract
- Parameter Estimation for the Spatial Autoregression Model: A Rigorous Approach
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. , NO., 1 Cascading spatio-temporal pattern discovery
