| * | 2009 |
| 124 | EE | James M. Kang,
Shashi Shekhar,
Michael Henjum,
Paige J. Novak,
William A. Arnold:
Discovering Teleconnected Flow Anomalies: A Relationship Analysis of Dynamic Neighborhoods (RAD) Approach.
SSTD 2009: 44-61 |
| 123 | EE | Jin Soung Yoo,
Shashi Shekhar:
Similarity-Profiled Temporal Association Mining.
IEEE Trans. Knowl. Data Eng. 21(8): 1147-1161 (2009) |
| 122 | EE | Betsy George,
James M. Kang,
Shashi Shekhar:
Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns.
Intell. Data Anal. 13(3): 457-475 (2009) |
| 121 | EE | Zhao Zhang,
Weili Wu,
Shashi Shekhar:
Optimal placements of replicas in a ring network with majority voting protocol.
J. Parallel Distrib. Comput. 69(5): 461-469 (2009) |
| 2008 |
| 120 | | Shashi Shekhar,
Hui Xiong:
Encyclopedia of GIS.
Springer 2008 |
| 119 | EE | Pradeep Mohan,
Ronald E. Wilson,
Shashi Shekhar,
Betsy George,
Ned Levine,
Mete Celik:
Should SDBMS support a join index?: a case study from CrimeStat.
GIS 2008: 37 |
| 118 | EE | Jeffrey Partyka,
Neda Alipanah,
Latifur Khan,
Bhavani M. Thuraisingham,
Shashi Shekhar:
Content-based ontology matching for GIS datasets.
GIS 2008: 51 |
| 117 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Thomas E. Burk,
Budhendra L. Bhaduri:
*Miner: a spatial and spatiotemporal data mining system.
GIS 2008: 86 |
| 116 | EE | Zhao Zhang,
Weili Wu,
Shashi Shekhar:
Optimal Placements in Ring Network for Data Replicas in Distributed Database with MajorityVoting Protocol.
ICDCS 2008: 387-394 |
| 115 | EE | James M. Kang,
Shashi Shekhar,
Christine Wennen,
Paige J. Novak:
Discovering Flow Anomalies: A SWEET Approach.
ICDM 2008: 851-856 |
| 114 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Budhendra L. Bhaduri:
A Semi-supervised Learning Algorithm for Recognizing Sub-classes.
ICDM Workshops 2008: 458-467 |
| 113 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Budhendra L. Bhaduri:
Sub-class Recognition from Aggregate Class Labels: Preliminary Results.
ICTAI (1) 2008: 61-64 |
| 112 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Thomas E. Burk,
Budhendra L. Bhaduri:
*Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining.
ITNG 2008: 801-806 |
| 111 | EE | Jeffrey Partyka,
Neda Alipanah,
Latifur Khan,
Bhavani M. Thuraisingham,
Shashi Shekhar:
Ontology Alignment Using Multiple Contexts.
International Semantic Web Conference (Posters & Demos) 2008 |
| 110 | | Vania Bogorny,
Shashi Shekhar:
Spatial and Spatio-temporal Data Mining.
SBBD 2008: 315 |
| 109 | EE | Jin Soung Yoo,
Shashi Shekhar:
Mining Temporal Association Patterns under a Similarity Constraint.
SSDBM 2008: 401-417 |
| 108 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Budhendra L. Bhaduri:
A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes.
SSPR/SPR 2008: 967-976 |
| 107 | EE | Betsy George,
Shashi Shekhar:
Road Maps, Digital.
Encyclopedia of GIS 2008: 967-972 |
| 106 | EE | Vijay Gandhi,
James M. Kang,
Shashi Shekhar:
Spatial Databases.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 105 | EE | Mete Celik,
Shashi Shekhar,
James P. Rogers,
James A. Shine:
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining.
IEEE Trans. Knowl. Data Eng. 20(10): 1322-1335 (2008) |
| 104 | EE | Sangho Kim,
Shashi Shekhar,
Manki Min:
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning.
IEEE Trans. Knowl. Data Eng. 20(8): 1115-1129 (2008) |
| 2007 |
| 103 | EE | Sangho Kim,
Betsy George,
Shashi Shekhar:
Evacuation route planning: scalable heuristics.
GIS 2007: 20 |
| 102 | EE | Mallikarjun Shankar,
Alexandre Sorokine,
Budhendra L. Bhaduri,
David Resseguie,
Shashi Shekhar,
Jin Soung Yoo:
Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks.
GeoS 2007: 160-176 |
| 101 | EE | Betsy George,
Shashi Shekhar:
Modeling Spatio-temporal Network Computations: A Summary of Results.
GeoS 2007: 177-194 |
| 100 | EE | James M. Kang,
Mohamed F. Mokbel,
Shashi Shekhar,
Tian Xia,
Donghui Zhang:
Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors.
ICDE 2007: 806-815 |
| 99 | EE | Changqing Zhou,
Nupur Bhatnagar,
Shashi Shekhar,
Loren G. Terveen:
Mining Personally Important Places from GPS Tracks.
ICDE Workshops 2007: 517-526 |
| 98 | EE | Mete Celik,
Shashi Shekhar,
James P. Rogers,
James A. Shine,
James M. Kang:
Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results.
ICDE Workshops 2007: 565-574 |
| 97 | EE | Mete Celik,
James M. Kang,
Shashi Shekhar:
Zonal Co-location Pattern Discovery with Dynamic Parameters.
ICDM 2007: 433-438 |
| 96 | EE | Betsy George,
Sangho Kim,
Shashi Shekhar:
Spatio-temporal Network Databases and Routing Algorithms: A Summary of Results.
SSTD 2007: 460-477 |
| 95 | EE | Changqing Zhou,
Dan Frankowski,
Pamela J. Ludford,
Shashi Shekhar,
Loren G. Terveen:
Discovering personally meaningful places: An interactive clustering approach.
ACM Trans. Inf. Syst. 25(3): (2007) |
| 94 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Thomas E. Burk:
An efficient spatial semi-supervised learning algorithm.
IJPEDS 22(6): 427-437 (2007) |
| 93 | EE | Qingsong Lu,
Betsy George,
Shashi Shekhar:
Evacuation Route Planning: a Case Study in Semantic Computing.
Int. J. Semantic Computing 1(2): 249-303 (2007) |
| 2006 |
| 92 | EE | Betsy George,
Shashi Shekhar:
Time-Aggregated Graphs for Modeling Spatio-temporal Networks.
ER (Workshops) 2006: 85-99 |
| 91 | EE | Xiaobin Ma,
Shashi Shekhar,
Hui Xiong,
Pusheng Zhang:
Exploiting a page-level upper bound for multi-type nearest neighbor queries.
GIS 2006: 179-186 |
| 90 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Thomas E. Burk,
Stephen Lime:
UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System.
GIScience 2006: 400-417 |
| 89 | EE | Mete Celik,
Shashi Shekhar,
James P. Rogers,
James A. Shine,
Jin Soung Yoo:
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results.
ICDM 2006: 119-128 |
| 88 | EE | Vijay Gandhi,
James M. Kang,
Shashi Shekhar,
Junchang Ju,
Eric D. Kolaczyk,
Sucharita Gopal:
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract.
ICDM Workshops 2006: 371-376 |
| 87 | EE | Mete Celik,
Shashi Shekhar,
James P. Rogers,
James A. Shine:
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results.
ICTAI 2006: 106-115 |
| 86 | EE | Jin Soung Yoo,
Shashi Shekhar,
Sangho Kim,
Mete Celik:
Discovery of Co-evoluting Spatial Co-located Event Sets.
SDM 2006 |
| 85 | EE | Jin Soung Yoo,
Shashi Shekhar:
A Joinless Approach for Mining Spatial Colocation Patterns.
IEEE Trans. Knowl. Data Eng. 18(10): 1323-1337 (2006) |
| 84 | EE | Hui Xiong,
Shashi Shekhar,
Pang-Ning Tan,
Vipin Kumar:
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases.
IEEE Trans. Knowl. Data Eng. 18(4): 493-508 (2006) |
| 83 | EE | Betsy George,
Shashi Shekhar:
Time-Aggregated Graphs for Modeling Spatio-temporal Networks.
J. Data Semantics 11: 191-212 (2006) |
| 2005 |
| 82 | EE | Sangho Kim,
Shashi Shekhar:
Contraflow network reconfiguration for evacuation planning: a summary of results.
GIS 2005: 250-259 |
| 81 | EE | Sandeep Mane,
Carson Murray,
Shashi Shekhar,
Jaideep Srivastava,
Anne Pusey:
Spatial Clustering of Chimpanzee Locations for Neighborhood Identification.
ICDM 2005: 737-740 |
| 80 | EE | Jin Soung Yoo,
Shashi Shekhar,
Mete Celik:
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results.
ICDM 2005: 813-816 |
| 79 | EE | Ranga Raju Vatsavai,
Shashi Shekhar,
Thomas E. Burk:
A Semi-Supervised Learning Method for Remote Sensing Data Mining.
ICTAI 2005: 207-211 |
| 78 | EE | Jin Soung Yoo,
Pusheng Zhang,
Shashi Shekhar:
Mining Time-Profiled Associations: An Extended Abstract.
PAKDD 2005: 136-142 |
| 77 | EE | Qingsong Lu,
Betsy George,
Shashi Shekhar:
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results.
SSTD 2005: 291-307 |
| 76 | | Shashi Shekhar,
Pusheng Zhang,
Yan Huang:
Spatial Data Mining.
The Data Mining and Knowledge Discovery Handbook 2005: 833-851 |
| 75 | EE | Jin Soung Yoo,
Shashi Shekhar:
In-Route Nearest Neighbor Queries.
GeoInformatica 9(2): 117-137 (2005) |
| 2004 |
| 74 | EE | Jin Soung Yoo,
Shashi Shekhar:
A partial join approach for mining co-location patterns.
GIS 2004: 241-249 |
| 73 | EE | Changqing Zhou,
Dan Frankowski,
Pamela J. Ludford,
Shashi Shekhar,
Loren G. Terveen:
Discovering personal gazetteers: an interactive clustering approach.
GIS 2004: 266-273 |
| 72 | EE | Baris M. Kazar,
Shashi Shekhar,
David J. Lilja,
Ranga Raju Vatsavai,
R. Kelley Pace:
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis.
GIScience 2004: 140-161 |
| 71 | EE | Hui Xiong,
Shashi Shekhar,
Pang-Ning Tan,
Vipin Kumar:
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs.
KDD 2004: 334-343 |
| 70 | EE | Hui Xiong,
Shashi Shekhar,
Yan Huang,
Vipin Kumar,
Xiaobin Ma,
Jin Soung Yoo:
A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects.
SDM 2004 |
| 69 | | Shashi Shekhar,
Ranga Raju Vatsavai,
Xiaobin Ma,
Jin Soung Yoo:
Navigation Systems: A Spatial Database Perspective.
Location-Based Services 2004: 41-82 |
| 68 | EE | Yan Huang,
Shashi Shekhar,
Hui Xiong:
Discovering Colocation Patterns from Spatial Data Sets: A General Approach.
IEEE Trans. Knowl. Data Eng. 16(12): 1472-1485 (2004) |
| 2003 |
| 67 | | Weili Wu,
Hui Xiong,
Shashi Shekhar:
Clustering and Information Retrieval
Kluwer 2003 |
| 66 | EE | Shashi Shekhar,
Jin Soung Yoo:
Processing in-route nearest neighbor queries: a comparison of alternative approaches.
GIS 2003: 9-16 |
| 65 | EE | Qingsong Lu,
Yan Huang,
Shashi Shekhar:
Evacuation Planning: A Capacity Constrained Routing Approach.
ISI 2003: 111-125 |
| 64 | EE | Pusheng Zhang,
Yan Huang,
Shashi Shekhar,
Vipin Kumar:
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach.
PAKDD 2003: 532-544 |
| 63 | | Yan Huang,
Hui Xiong,
Shashi Shekhar,
Jian Pei:
Mining Confident Colocation Rules without A Support Threshold.
SAC 2003: 497-501 |
| 62 | EE | Pusheng Zhang,
Yan Huang,
Shashi Shekhar,
Vipin Kumar:
Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries.
SSTD 2003: 449-468 |
| 61 | | Shashi Shekhar:
Editorial.
GeoInformatica 7(1): 5-6 (2003) |
| 60 | | Shashi Shekhar,
Chang-Tien Lu,
Pusheng Zhang:
A Unified Approach to Detecting Spatial Outliers.
GeoInformatica 7(2): 139-166 (2003) |
| 59 | EE | Xuan Liu,
Shashi Shekhar,
Sanjay Chawla:
Object-Based Directional Query Processing in Spatial Databases.
IEEE Trans. Knowl. Data Eng. 15(2): 295-304 (2003) |
| 2002 |
| 58 | EE | Shashi Shekhar,
Yan Huang,
Judy Djugash,
Changqing Zhou:
Vector map compression: a clustering approach.
ACM-GIS 2002: 74-80 |
| 57 | EE | Shashi Shekhar,
Yan Huang,
Judy Djugash:
Dictionary Design Algorithms for Vector Map Compression.
DCC 2002: 471 |
| 56 | EE | Shashi Shekhar,
Chang-Tien Lu,
Pusheng Zhang,
Rulin Liu:
Data Mining for Selective Visualization of Large Spatial Datasets.
ICTAI 2002: 41-48 |
| 55 | | Sanjay Chawla,
Shashi Shekhar,
Weili Wu:
A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data.
JCIS 2002: 245-250 |
| 54 | EE | Shashi Shekhar,
Chang-Tien Lu,
Sanjay Chawla,
Sivakumar Ravada:
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach.
IEEE Trans. Knowl. Data Eng. 14(6): 1400-1421 (2002) |
| 53 | EE | Shashi Shekhar,
Paul R. Schrater,
Ranga Raju Vatsavai,
Weili Wu,
Sanjay Chawla:
Spatial contextual classification and prediction models for mining geospatial data.
IEEE Transactions on Multimedia 4(2): 174-188 (2002) |
| 52 | EE | Shashi Shekhar,
Chang-Tien Lu,
Pusheng Zhang:
Detecting graph-based spatial outliers.
Intell. Data Anal. 6(5): 451-468 (2002) |
| 2001 |
| 51 | | Shashi Shekhar,
Ranga Raju Vatsavai,
Namita Sahay,
Thomas E. Burk,
Stephen Lime:
WMS and GML based Interoperable Web Mapping System.
ACM-GIS 2001: 106-111 |
| 50 | EE | Shashi Shekhar,
Chang-Tien Lu,
Pusheng Zhang:
Detecting graph-based spatial outliers: algorithms and applications (a summary of results).
KDD 2001: 371-376 |
| 49 | | Ranga Raju Vatsavai,
Thomas E. Burk,
Shashi Shekhar,
Mark H. Hansen:
An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases.
SSDBM 2001: 115-123 |
| 48 | EE | Shashi Shekhar,
Yan Huang:
Discovering Spatial Co-location Patterns: A Summary of Results.
SSTD 2001: 236-256 |
| 47 | | Xuan Liu,
Shashi Shekhar,
Sanjay Chawla:
Maintaining Spatial Constraints Using a Dimension Graph Approach.
International Journal on Artificial Intelligence Tools 10(4): 639-662 (2001) |
| 46 | EE | Shashi Shekhar,
Weili Wu:
Optimal placement of data replicas in distributed database with majority voting protocol.
Theor. Comput. Sci. 258(1-2): 555-571 (2001) |
| 2000 |
| 45 | | Sanjay Chawla,
Shashi Shekhar,
Weili Wu,
Uygar Ozesmi:
Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations.
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 70-77 |
| 44 | EE | Xuan Liu,
Shashi Shekhar,
Sanjay Chawla:
Processing object-oientation-based direction queries: a summary of results.
ACM-GIS 2000: 69-76 |
| 43 | EE | Ranga Raju Vatsavai,
Thomas E. Burk,
B. Tyler Wilson,
Shashi Shekhar:
A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping.
ACM-GIS 2000: 95-101 |
| 42 | EE | Xuan Liu,
Shashi Shekhar,
Sanjay Chawla:
Consistency checking for Euclidean spatial constraints: a dimension graph approach.
ICTAI 2000: 333- |
| 41 | | Sanjay Chawla,
Shashi Shekhar,
Weili Wu,
Uygar Ozesmi:
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining.
MDM/KDD 2000: 14-24 |
| 1999 |
| 40 | EE | Shashi Shekhar,
Ranga Raju Vatsavai,
Sanjay Chawla,
Thomas E. Burk:
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models.
Integrated Spatial Databases 1999: 77-104 |
| 39 | | Shashi Shekhar,
Xuan Liu,
Sanjay Chawla:
An Object Model of Direction and Its Implications.
GeoInformatica 3(4): 357-379 (1999) |
| 38 | EE | Shashi Shekhar,
Sanjay Chawla,
Sivakumar Ravada,
Andrew Fetterer,
Xuan Liu,
Chang-Tien Lu:
Spatial Databases - Accomplishments and Research Needs.
IEEE Trans. Knowl. Data Eng. 11(1): 45-55 (1999) |
| 37 | EE | George Karypis,
Rajat Aggarwal,
Vipin Kumar,
Shashi Shekhar:
Multilevel hypergraph partitioning: applications in VLSI domain.
IEEE Trans. VLSI Syst. 7(1): 69-79 (1999) |
| 1998 |
| 36 | EE | Shashi Shekhar,
Xuan Liu:
Direction as a Spatial Object: A Summary of Results.
ACM-GIS 1998: 69-75 |
| 35 | | Sivakumar Ravada,
Shashi Shekhar,
Chang-Tien Lu,
Sanjay Chawla:
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach.
SRDS 1998: 302-308 |
| 34 | EE | Shashi Shekhar,
Sivakumar Ravada,
Vipin Kumar,
Douglas Chubb,
Greg Turner:
Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems.
IEEE Trans. Knowl. Data Eng. 10(4): 632-655 (1998) |
| 1997 |
| 33 | EE | George Karypis,
Rajat Aggarwal,
Vipin Kumar,
Shashi Shekhar:
Multilevel Hypergraph Partitioning: Application in VLSI Domain.
DAC 1997: 526-529 |
| 32 | EE | Andrew Fetterer,
Shashi Shekhar:
A Performance Analysis of Hierarchical Shortest Path Algorithms.
ICTAI 1997: 84-93 |
| 31 | EE | Shashi Shekhar,
Andrew Fetterer,
Bjajesh Goyal:
Materialization Trade-Offs in Hierarchical Shortest Path Algorithms.
SSD 1997: 94-111 |
| 30 | EE | Shashi Shekhar,
Mark Coyle,
Brajesh Goyal,
Duen-Ren Liu,
Shyamsundar Sarkar:
Data Models in Geographic Information Systems.
Commun. ACM 40(4): 103-111 (1997) |
| 29 | EE | Shashi Shekhar,
Duen-Ren Liu:
CCAM: A Connectivity-Clustered Access Method for Networks and Network Computations.
IEEE Trans. Knowl. Data Eng. 9(1): 102-119 (1997) |
| 1996 |
| 28 | | Shashi Shekhar,
Sivakumar Ravada,
Vipin Kumar,
Douglas Chubb,
Greg Turner:
Parallelizing a GIS on a Shared Address Space Architecture.
IEEE Computer 29(12): 42-48 (1996) |
| 27 | EE | Shashi Shekhar,
Andrew Fetterer,
Duen-Ren Liu:
Genesis: An Approach to Data Dissemination in Advanced Traveler Information Systems.
IEEE Data Eng. Bull. 19(3): 40-47 (1996) |
| 26 | EE | Ee-Peng Lim,
Jaideep Srivastava,
Shashi Shekhar:
An Evidential Reasoning Approach to Attribute Value Conflict Resolution in Database Integration.
IEEE Trans. Knowl. Data Eng. 8(5): 707-723 (1996) |
| 25 | EE | Duen-Ren Liu,
Shashi Shekhar:
Partitioning Similarity Graphs: A Framework for Declustering Problems.
Inf. Syst. 21(6): 475-496 (1996) |
| 1995 |
| 24 | EE | Duen-Ren Liu,
Shashi Shekhar:
A Similarity Graph-Based Approach to Declustering Problems and Its Application towards Paralleling Grid Files.
ICDE 1995: 373-381 |
| 23 | EE | Shashi Shekhar,
Duen-Ren Liu:
CCAM: A Connectivity-Clustered Access Method for Aggregate Queries on Transportation Networks: A Summary of Results.
ICDE 1995: 410-419 |
| 22 | | Babak Hamidzadeh,
Shashi Shekhar:
Deadline Compliance, Predictability, and On-line Optimization in Real-Time Problem Solving.
IJCAI 1995: 220-226 |
| 21 | EE | Shashi Shekhar,
Sivakumar Ravada,
Vipin Kumar,
Douglas Chubb,
Greg Turner:
Load Balancing in High Performance GIS: Declustering Polygonal Maps.
SSD 1995: 196-215 |
| 1994 |
| 20 | EE | Ee-Peng Lim,
Jaideep Srivastava,
Shashi Shekhar:
Resolving Attribute Incompatibility in Database Integration: An Evidential Reasoning Approach.
ICDE 1994: 154-163 |
| 19 | EE | Yvonne Zhou,
Shashi Shekhar,
Mark Coyle:
Disk Allocation Methods for Parallelizing Grid Files.
ICDE 1994: 243-252 |
| 18 | | Minesh B. Anim,
Shashi Shekhar:
Customizing Parallel Formulations of Backpropagation Learning Algorithm to Neural Network Architectures : A Summary of Results.
ICTAI 1994: 181-189 |
| 17 | EE | Vipin Kumar,
Shashi Shekhar,
Minesh B. Amin:
A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures.
IEEE Trans. Parallel Distrib. Syst. 5(10): 1073-1090 (1994) |
| 1993 |
| 16 | EE | Shashi Shekhar,
Ashim Kohli,
Mark Coyle:
Path Computation Algorithms for Advanced Traveller Information System (ATIS).
ICDE 1993: 31-39 |
| 15 | | Shashi Shekhar,
Babak Hamidzadeh:
Self-Adjusting Real-Time Search: A Summary of Results.
ICTAI 1993: 224-231 |
| 14 | | Shashi Shekhar:
Real Time and AI (Panel).
ICTAI 1993: 5 |
| 13 | EE | Shashi Shekhar,
Babak Hamidzadeh,
Ashim Kohli,
Mark Coyle:
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng. 5(6): 950-964 (1993) |
| 12 | EE | Babak Hamidzadeh,
Shashi Shekhar:
Specification and Analysis of Real-time Problem Solvers.
IEEE Trans. Software Eng. 19(8): 788-803 (1993) |
| 1992 |
| 11 | | Babak Hamidzadeh,
Shashi Shekhar:
Can Real-Time Search Algorithms Meet Deadlines?
AAAI 1992: 486-491 |
| 10 | EE | Shashi Shekhar,
Toneluh Andrew Yang:
MoBiLe Files and Efficient Processing of Path Queries on Scientific Data.
ICDE 1992: 78-85 |
| 9 | | Shashi Shekhar,
Babak Hamidzadeh:
Evaluation of Real-Time Search Algorithms in Dynamic Worlds.
ICTAI 1992: 6-13 |
| 8 | | Soumitra Dutta,
Shashi Shekhar,
W. Y. Wong:
Decision Support in Non-Conservative Domains: Generalization with Neural Networks.
IFIP Congress (3) 1992: 259-265 |
| 7 | | Shashi Shekhar,
Jaideep Srivastava,
Soumitra Dutta:
A formal model of trade-off between optimization and execution costs in semantic query optimization.
Data Knowl. Eng. 8: 131-151 (1992) |
| 6 | EE | Shashi Shekhar,
Minesh B. Amin:
Generalization by Neural Networks.
IEEE Trans. Knowl. Data Eng. 4(2): 177-185 (1992) |
| 1991 |
| 5 | EE | Shashi Shekhar,
Toneluh Andrew Yang:
Motion in a Geographical Database System.
SSD 1991: 339-358 |
| 1990 |
| 4 | EE | C. V. Ramamoorthy,
Shashi Shekhar:
A Cooperative Approach to Large Knowledge Based Systems.
ICDE 1990: 346-352 |
| 1989 |
| 3 | | Shashi Shekhar,
Soumitra Dutta:
Minimizing Response Times in Real Time Planning and Search.
IJCAI 1989: 238-242 |
| 1988 |
| 2 | EE | Shashi Shekhar,
Jaideep Srivastava,
Soumitra Dutta:
A Formal Model of Trade-off between Optimization and Execution Costs in Semantic Query Optimization.
VLDB 1988: 457-467 |
| 1987 |
| 1 | | C. V. Ramamoorthy,
Shashi Shekhar,
Vijay K. Garg:
Software Development Support for AI Programs.
IEEE Computer 20(1): 30-40 (1987) |