Spatial Data Mining: Teleconnections Shashi Shekhar Mcknight Distinguished University Professor, U of Minnesota only in old plan Only in new plan In both.

Slides:



Advertisements
Similar presentations
1 Query Processing in Spatial Network Databases presented by Hao Hong Dimitris Papadias Jun Zhang Hong Kong University of Science and Technology Nikos.
Advertisements

University of Minnesota 1 Exploiting Page-Level Upper Bound (PLUB) for Multi-Type Nearest Neighbor (MTNN) Queries Xiaobin Ma Advisor: Shashi Shekhar Dec,
1 Spatial Big Data Challenges Intersecting Cloud Computing and Mobility Shashi Shekhar McKnight Distinguished University Professor Department of Computer.
1 Shashi Shekhar McKnight Distinguished Uninversity Professor University of Minnesota
Question: Find the equation of a line that is parallel to the equation: 3x + 2y = 18.
University of Minnesota 1 / 9 May 2011 Energy-Efficient Location-based Services Mohamed F. Mokbel Department of Computer Science and Engineering University.
Sustainability: Spatial Computing Challenges Shashi Shekhar McKnight Distinguished University Professor University of Minnesota
A PARALLEL FORMULATION OF THE SPATIAL AUTO-REGRESSION MODEL FOR MINING LARGE GEO-SPATIAL DATASETS HPDM 2004 Workshop at SIAM Data Mining Conference Barış.
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining Sanjay Chawla(Vignette Corporation) Shashi Shekhar, Weili Wu(CS,
1 Evacuation Route Planning: A Scientific Approach Shashi Shekhar McKnight Distinguished University Professor, University of Minnesota Project Details.
Group Members Faculty : Professor Shashi Shekhar Professor Mohamed Mokbel Students : Mete Celik Betsy George James Kang Sangho Kim Xiaojia Li Qingsong.
Spatial Outlier Detection and implementation in Weka Implemented by: Shan Huang Jisu Oh CSCI8715 Class Project, April Presented by Jisu.
> >
(Geo) Informatics across Disciplines! Why Geo-Spatial Computing? Societal: Google Earth, Google Maps, Navigation, location-based service Global Challenges.
Spatial Data Mining: Three Case Studies For additional details Shashi Shekhar, University of Minnesota Presented.
Panelist: Shashi Shekhar McKnight Distinguished Uninversity Professor University of Minnesota Cyber-Infrastructure (CI) Panel,
Spatial Database & Spatial Data Mining Shashi Shekhar Dept. of Computer Sc. and Eng. University of Minnesota
Prof. Ram and I By Shashi Shekhar (not Sushi Shekhar!) May 6 th, 2006.
University of Minnesota Department of Computer Science and Engineering Directed by Professor Shashi Shekhar Department of Computer Science and Engineering.
Shashi Shekhar Professor, Computer Science Department Teaching: Csci 8705: Topics in Scientific Databases Csci.
Source:
Graphing Piecewise Functions
Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,
Army High Performance Computing Research Center Prof. Shashi Shekhar Computational Sciences & Engineering for Defense Technology Applications Enabling.
Lesson 2-3 Example Graph the ordered pairs C(2, 5) and D(0, 5). Then connect the points. What do you notice? Step 1 Graph point C. Start at the origin,
Indexing for Multidimensional Data An Introduction.
Mapping and analysis for public safety: An Overview.
4 Smarter Planet SIG SPATIAL Spatial Computing: Recent Trends.
Last Words DM 1. Mining Data Steams / Incremental Data Mining / Mining sensor data (e.g. modify a decision tree assuming that new examples arrive continuously,
Computational Sciences & Engineering Division Geographic Information Science and Technology Landsat LIDAR data Hi-res satellite imagery sensor networks.
Forms and Subforms 5.02 Understand database queries, forms, and reports used in business.
Lesson 2 How do electric circuits work?. Electric Circuits You know that electric circuits only work when the circuit is closed. OPEN.
Mapcube to Understand Traffic Patterns Shashi Shekhar Computer Science Department University of Minnesota (612)
University of Minnesota Computer Science & Engineering An Overview for Smarter Planet Joint IBM/University Day Nov. 20, 2009 Vipin Kumar William Norris.
CCR = Connectivity Residue Ratio = Pr. [ node pair connected by an edge are together in a common page on computer disk drive.] “U of M Scientists were.
Parallel and Perpendicular Lines
Spatial Computing Shashi Shekhar McKnight Distinguished University Professor Dept. of Computer Sc. and Eng. University of Minnesota
CS363: Introduction to Database Systems Instructor: Ying Cai Department of Computer Science Iowa State University Office: Atanasoff.
Massively Distributed Database Systems In-Network Query Processing (Ad-Hoc Sensor Network) Fall 2015 Ki-Joune Li Pusan.
Data Structures Lakshmish Ramaswamy. Tree Hierarchical data structure Several real-world systems have hierarchical concepts –Physical and biological systems.
Session-2 Participants Cyrus Shahabi Raju Vatsavai Mohamed Mokbel Shashi Shekhar Mubarak Shah Jans Aasman Monika Sester Wei Ding Phil Hwang Anthony Stefanidis.
Identifying and Analyzing Patterns of Evasion HM Investigator: Shashi Shekhar (U Minnesota) Collaborators: Renee Laubscher, James Kang Kickoff.
Christoph F. Eick: Final Words COSC Topics Covered in COSC 3480  Data models (ER, Relational, XML)  Using data models; learning how to store real.
From GPS and Google Maps to Spatial Computing June, 2016 Shashi Shekhar McKnight Distinguished University Professor Department of Computer Science and.
Outlier Detection for Information Networks Manish Gupta 15 th Jan 2013.
Diskusi-08 Jelaskan dan berikan contoh penggunaan theta join, equijoin, natural join, outer join, dan semijoin The slides for this text are organized into.
Indexing Goals: Store large files Support multiple search keys
Diskusi-5 Sebutkan perangkat (tools) yang berpotensi mendukung kebutuhan tugas-tugas manajerial (management work) Jelaskan enam karakteristik informasi.
Graphing Trigonometric Functions
Diskusi-1 Bacalah materi chapter-01, lalu buatlah ringkasan yang berisi tentang : Definisi EUIS Siapa end user Dampak euis pada lingkungan kerja Perencanaan.
Latihan Answer the following questions using the relational schema from the Exercises at the end of Chapter 3: Create the Hotel table using the integrity.
Diskusi-16 Buatlah ringkasan tentang pertimbangan dalam desain yang ergonomis pada tiga perangkat utama komputer yaitu monitor, keyboard dan mouse (lihat.
Latihan Create a separate table with the same structure as the Booking table to hold archive records. Using the INSERT statement, copy the records from.
Tugas-05 a. Sebutkan primary key masing-masing tabel
Ticket in the Door Find the mean, median and mode of the data.
Location Prediction and Spatial Data Mining (S. Shekhar)
(Geo) Informatics across Disciplines!
Topics Covered in COSC 6340 Data models (ER, Relational, XML (short))
Quiz Review.
Efficient Evaluation of k-NN Queries Using Spatial Mashups
Others Structure Prediction Clustering DATA MINING Association Rules
Topics Covered in COSC 6340 Data models (ER, Relational, XML)
2/18/2019.
STORE MANAGER RESPONSIBILITIES.
Algorithms Lecture # 29 Dr. Sohail Aslam.
Daniel Alvarez BMW Research, New Technologies, Innovations
Spatial Data Mining: Three Case Studies
Circuits _____________ ______________
Line Graphs.
File Organizations and Indexing
Presentation transcript:

Spatial Data Mining: Teleconnections Shashi Shekhar Mcknight Distinguished University Professor, U of Minnesota only in old plan Only in new plan In both plans Spatial Datbases: Evacutation Route Planning

Spatial Databases: Representative Projects only in old plan Only in new plan In both plans Evacutation Route Planning Parallelize Range Queries Storing graphs in disk blocksShortest Paths

Spatial Data Mining : Representative Projects Nest locationsDistance to open water Vegetation durability Water depth Location prediction: nesting sitesSpatial outliers: sensor (#9) on I-35Co-location PatternsTele connections

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.