Eick: Papers, Articles, and Other Material to be used in COSC 7363 COSC 7363 Overview Advanced AI Hyla-Tree Frog 1994 “AI” Turing Award Lectures AI and.

Slides:

Advertisements

Similar presentations

Prof. Carolina Ruiz Department of Computer Science Worcester Polytechnic Institute INTRODUCTION TO KNOWLEDGE DISCOVERY IN DATABASES AND DATA MINING.

Advertisements

Hani AbuSharkh Benjamin C. M. Fung fung (at) ciise.concordia.ca

Image Information Retrieval Shaw-Ming Yang IST 497E 12/05/02.

Spatial Frequent Pattern Mining for Crime Analysis

Overview of Data Mining & The Knowledge Discovery Process Bamshad Mobasher DePaul University Bamshad Mobasher DePaul University.

Critical Analysis Presentation: T-Drive: Driving Directions based on Taxi Trajectories Authors of Paper: Jing Yuan, Yu Zheng, Chengyang Zhang, Weilei Xie,

New Geometric Methods of Mixture Models for Interactive Visualization PIs: Jia Li, Xiaolong (Luke) Zhang, Bruce Lindsay Department of Statistics College.

Multimedia Retrieval Organization 2011/12, term 1 Remco Veltkamp.

Breaking Free: Creating and Innovating Like No One Else Maria Gini, Urvashi Mishra University of Minnesota Joann Ordille Avaya Labs Research.

Panelist: Shashi Shekhar McKnight Distinguished Uninversity Professor University of Minnesota Cyber-Infrastructure (CI) Panel,

2015/7/21 Incremental Clustering for Mining in a Data Warehousing Environment Martin Ester Hans-Peter Kriegel J.Sander Michael Wimmer Xiaowei Xu Proceedings.

An Overview of Our Course:

Co-location pattern mining (for CSCI 5715) Charandeep Parisineti, Bhavtosh Rath Chapter 7: Spatial Data Mining [1]Yan Huang, Shashi Shekhar, Hui Xiong.

1 Synthesizing High-Frequency Rules from Different Data Sources Xindong Wu and Shichao Zhang IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL.

WPI Center for Research in Exploratory Data and Information Analysis From Data to Knowledge: Exploring Industrial, Scientific, and Commercial Databases.

Data mining in large spatiotemporal data sets Dr Amy McGovern Associate Professor, School of Computer Science Adjunct Associate Professor,

OLAM and Data Mining: Concepts and Techniques. Introduction Data explosion problem: –Automated data collection tools and mature database technology lead.

Data Warehouse Fundamentals Rabie A. Ramadan, PhD 2.

Tang: Introduction to Data Mining (with modification by Ch. Eick) I: Introduction to Data Mining A.Short Preview 1.Initial Definition of Data Mining 2.Motivation.

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,

Data Mining GyuHyeon Choi. ‘80s  When the term began to be used  Within the research community.

Page 1 WEB MINING by NINI P SURESH PROJECT CO-ORDINATOR Kavitha Murugeshan.

Project presentation 1. Agenda Motivation Problem Statement Related Work Proposed Solution Hierarchical routing theory 2.

CS523 INFORMATION RETRIEVAL COURSE INTRODUCTION YÜCEL SAYGIN SABANCI UNIVERSITY.

Multimedia Information Retrieval and Multimedia Data Mining Chengcui Zhang Assistant Professor Dept. of Computer and Information Science University of.

Chapter 1 Introduction to Data Mining

Trajectory Pattern Mining Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli KDD Lab (ISTI-CNR & Univ. Pisa) Presented by: Qiming Zou.

Garrett Poppe, Liv Nguekap, Adrian Mirabel CSUDH, Computer Science Department.

Text Mining: Fast Phrase-based Text Indexing and Matching Khaled Hammouda, Ph.D. Student PAMI Research Group University of Waterloo Waterloo, Ontario,

Overview of CS Class Jiawei Han Department of Computer Science

DB group seminar 2006/06/29The University of Hong Kong, Dept. of Computer Science Neighborhood based detection of anomalies in high dimensional spatio-temporal.

Eick : First Lecture COSC 7363 Overview Advanced AI Hyla-Tree Frog History of AI thr AI and the Web Traditional Clustering Graph Mining Spatial and.

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,

Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, March 29, 2000.

Department of Computer Science 1 KDD / Data Mining Let us find something interesting!  Motivation: We are drowning in data, but we are staving for knowledge.

DBSQL 9-1 Copyright © Genetic Computer School 2009 Chapter 9 Data Mining and Data Warehousing.

Data Mining BS/MS Project Anomaly Detection for Cyber Security Presentation by Mike Calder.

Data and Applications Security Developments and Directions Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #15 Secure Multimedia Data.

ICT-enabled Agricultural Science for Development Scenarios, Opportunities, Issues by ICTs transforming agricultural science, research & technology generation.

IEEE CIM IEEE Computational Intelligence Magazine Editor-in-Chief: Hisao Ishibuchi ( ) June 18, 2014 Main Topic of Each Issue Feb 2014:Natural.

3rd Indian International Conference on Artificial Intelligence 2007, Puna, India Jan Rauch, KIZI.

Trajectory Data Mining

CSCE 5073 Section 001: Data Mining Spring Overview Class hour 12:30 – 1:45pm, Tuesday & Thur, JBHT 239 Office hour 2:00 – 4:00pm, Tuesday & Thur,

Information Security Prof. David Zhang Department of Computing Hong Kong Polytechnic University Tel: PQ809

Department of Computer Science Research Areas and Projects 1. Data Mining and Machine Learning Group ( research.

Finding Clusters within a Class to Improve Classification Accuracy Literature Survey Yong Jae Lee 3/6/08.

Data Mining in Germany IIM Conference, Oct. 24, 2012 Gottfried Schwarz, DLR > Lecture > Author Document > Datewww.DLR.de Chart 1.

General Information Course Id: COSC6342 Machine Learning Time: TU/TH 1-2:30p Instructor: Christoph F. Eick Classroom:AH301

FNA/Spring CENG 562 – Machine Learning. FNA/Spring Contact information Instructor: Dr. Ferda N. Alpaslan

Christoph F. Eick: Final Words COSC Topics Covered in COSC 3480  Data models (ER, Relational, XML)  Using data models; learning how to store real.

CS570: Data Mining Spring 2010, TT 1 – 2:15pm Li Xiong.

Part III – Trajectory Data Mining Vania Bogorny Universidade Federal de Santa Catarina, Brazil Department of Informatics and Statistics

Under Guidance of Mr. A. S. Jalal Associate Professor Dept. of Computer Engineering and Applications GLA University, Mathura Presented by Dev Drume Agrawal.

Data Mining - Introduction Compiled By: Umair Yaqub Lecturer Govt. Murray College Sialkot.

Geoinformatica An International Journal on Advances of Computer Science for Geographic Information Systems.

Survey on Different Data Mining Techniques for E- Crimes

Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.

Biometrics Authentication

Jiawei Han Department of Computer Science

Overview Advanced AI 1994 “AI” Turing Award Lectures AI and the Web

Research Areas Christoph F. Eick

Data Warehousing and Data Mining

Image Enhancement in the

Spatial Data Mining Definition: Spatial data mining is the process of discovering interesting patterns from large spatial datasets; it organizes by location.

Fundamental of Artificial Intelligence (CSC3180)

Dept. of Computer Science University of Liverpool

Data Mining: Concepts and Techniques (3rd ed.) — Chapter 1 —

CSCE 4143 Section 001: Data Mining Spring 2019.

Promising “Newer” Technologies to Cope with the

Presentation transcript:

Eick: Papers, Articles, and Other Material to be used in COSC 7363 COSC 7363 Overview Advanced AI Hyla-Tree Frog 1994 “AI” Turing Award Lectures AI and the Web Traditional Clustering Graph & Sequence Mining Shape-based Image Retrieval Spatial and Spatio-Temporal Data Mining Reinforcement Learning and Learning to Learn

Eick: Papers, Articles, and Other Material to be used in COSC 7363 COSC 7363 Paper Reading List COSC 7363

Eick: Papers, Articles, and Other Material to be used in COSC 7363 COSC 7363 Paper Reading List COSC Cyrus Shahabi, Maytham Safar, An experimental study of alternative shape-based image retrieval techniques, Multimedia Tools and Applications, Springer Netherlands, November 2006.An experimental study of alternative shape-based image retrieval techniquesMultimedia Tools and Applications 10.S. Shekhar, P. Zhang, Y. Huang, R. Vatsavai, Trends in Spatial Data Mining, Chapter3 of Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha(eds.), AAAI/MIT Press, CHAMELEON and CLUTO ( 12.Co-location Mining with Rare Spatial Features by Yan Huang, Jian Pei, and Hui Xiong published in Journal of GeoInformatica, vol. 10, issue 3, Mirco Nanni, Dino Pedreschi. Time-focused density-based clustering of trajectories of moving objects. in Journal of Intelligent Information Systems (JIIS), 27(3): , 2006.Journal of Intelligent Information Systems (JIIS), 27(3): H. Cao, N. Mamoulis, and D. W. Cheung, "Discovery of Periodic Patterns in Spatiotemporal Sequences," IEEE Transactions on Knowledge and Data Engineering (TKDE), to appear.Discovery of Periodic Patterns in Spatiotemporal Sequences 15.Reinforcement Learning: A Survey by Kaelbling, L. P. and Littman, M. L. in JAIR, 1996 ( ) 16. Daniel Saunders, Paul Thagard, Creativity in Computer Science, In J. C. Kaufman & J. Baer (Eds.), Creativity across domains: Faces of the muse. Mahwah, NJ: Lawrence Erlbaum Associates.Creativity in Computer Science