Database Systems Research on Data Mining

Database Systems Research on Data Mining. Reference: Ordonez, C, Garcia-Garcia, J, Database Systems Research on Data Mining, Proc. ACM SIGMOD 2010, p.000-999 (tutorial). Global Outline. 1. Data mining models and algorithms (JG,15 min) 1.1 Preprocess to get Data set 1.2 Data set

1.25k views • 65 slides

Database Security and Auditing: Protecting Data Integrity and ...

884 views • 30 slides

Data Security, Data Administration and Database Administration

Data Security, Data Administration and Database Administration. University of California, Berkeley School of Information IS 257: Database Management. Midterm Project Report Requirements Review Database Administration: Security Database Administration: Disasters, Backup and Recovery

1.01k views • 57 slides

Spatial Database & Spatial Data Mining

Spatial Database & Spatial Data Mining. Shashi Shekhar Dept. of Computer Sc. and Eng. University of Minnesota. shekhar@cs.umn.edu, www.cs.umn.edu/~shekhar www.spatial.cs.umn.edu. Spatial Data. Location-based Services E.g.: MapPoint, MapQuest, Yahoo/Google Maps, ….

500 views • 24 slides

CPS216: Advanced Database Systems Data Mining

CPS216: Advanced Database Systems Data Mining. Slides created by Jeffrey Ullman, Stanford. What is Data Mining?. Discovery of useful, possibly unexpected, patterns in data. Subsidiary issues: Data cleansing : detection of bogus data. E.g., age = 150.

674 views • 42 slides

“Data Mining on a Mushroom Database”

“Data Mining on a Mushroom Database”. Clara Eusebi, Cosmin Gilga, Deepa John, Andre Maisonave. Presentation Summary. Background Concepts Literature Review Focus of Study Research Methodology Results of Study Mushroom Database Application Future Research Conclusions. Background.

292 views • 10 slides

Database Security and Data Protection

Database Security and Data Protection. Suseel Pachalla, CISSP. Outline. Why is Database Security Critical? Database Environment Database Security Threats Database Hardening Database Activity Monitoring/Auditing Database Encryption Risk Reduction Business / Solution Challenges

511 views • 15 slides

Data Mining, Database Tuning

Data Mining, Database Tuning. Tuesday, Feb. 27, 2007. Outline. Data Mining: chapter 26 Database tuning: chapter 20. Data Mining.

468 views • 32 slides

Database Management Systems: Data Mining

Database Management Systems: Data Mining. Attribute Evaluation. Multiple Regression. Y = b 0 + b 1 X 1 + b 2 X 2 + … + b k X k. Regression estimates the b coefficients. If a b value is zero, the corresponding X attribute does not influence the Y variable.

206 views • 13 slides

Data Security and Cryptology, XIII Database Security. Newtwork Security

Data Security and Cryptology, XIII Database Security. Newtwork Security. November 27th , 2013 Valdo Praust mois @ mois .ee Lecture Course in Estonian IT College Autumn 2013. Technical and Legal Views to Digital Signature.

595 views • 45 slides

Database Research: Data Mining & Other Areas

Database Research: Data Mining & Other Areas. Dr. Aparna Varde Ph.D., Computer Science, WPI, MA Assistant Professor, Computer Science, VSU, VA Presentation at Montclair State University, NJ May 2, 2008. Agenda. Database Systems Introduction to Databases and Research Areas Data Mining

470 views • 35 slides

Database Support to Data Mining

Database Support to Data Mining. Olson/Shi -- Chapter 3. Data Warehousing. “Data warehouses are used to store massive quantities of data in a manner that can be easily updated and allow quick retrieval of specific types of data.” Integrate information from a variety of sources. DW Processes.

310 views • 16 slides

Data Mining for Security Applications

Data Mining for Security Applications. Prof. Bhavani Thuraisingham The University of Texas at Dallas. June 2006. Outline. Vision at U. Texas at Dallas on Assured Information Sharing Overview of Data Mining

560 views • 45 slides

Data Mining(Knowledge Discovery in Database)

Data Mining(Knowledge Discovery in Database). 2000. 4.20. 지도교수 : 박상희 교수님. 산업정보 4 학기 최윤호. 연세대학교 산업대학원. 지식기반센터 전략방향과 Data Mining. 지식의 축적 , 공유 , New 분야에 지식 적용에 있어서 강점을 가지고 있으나 New 지식의 조합 , 창조에 있어 연구가 요구됨. 지식의 수집 , 검증 ( 축적 ). 조직내 , 조직간 지식공유. Capture. Sharing. New 분야에

491 views • 18 slides

Lecture 1: Biological information database and data mining

Lecture 1: Biological information database and data mining. Biology as an information intensive science Typical databases Introduction to data mining Data mining in biology. Biology as an information intensive science. Organization of living systems:

365 views • 17 slides

Data Mining, Security and Privacy

Data Mining, Security and Privacy. Prof. Bhavani Thuraisingham Prof. Murat Kantarcioglu Ms Li Liu (PhD Student – completing December 2007) The University of Texas at Dallas August 24, 2008. Outline. Data Mining for Security Applications Privacy Concerns What is Privacy?

515 views • 28 slides

Database-Centric Data Mining and Inductive DBMS

Database-Centric Data Mining and Inductive DBMS. Carlo Zaniolo Computer Science Department UCLA. E-Commerce Applications. ZAIAS Corp: decision support and e-Services for web-based auctions—technology to: monitor multiple ongoing auctions, determine the right price for auctioned goods, &

236 views • 13 slides

Database Management Systems: Data Mining

Database Management Systems: Data Mining. Market Baskets Association Rules. Association/Market Basket. Examples What items are customers likely to buy together? What Web pages are closely related? Others? Classic (early) example:

173 views • 8 slides

Data Mining Using the Federal Research and Evaluation Database

Predict. Explain. Describe. Data Mining Using the Federal Research and Evaluation Database. Agenda. Overview of the tool The basics of data analysis TAA and WIA application menus Exploring menu options Example scenarios Questions?. http://www.fred-info.org. Overview of the Tool.

706 views • 61 slides

Database Management Systems: Data Mining

Database Management Systems: Data Mining. Data Compression. The Need for Data Compression. Noisy data Need to combine data to smooth it (bins) Too many values in a dimension Need to combine data to get smaller number of sets Hierarchies Rollup data into natural hierarchies

365 views • 21 slides

PRIVACY AND security Issues IN Data Mining

Supervisors Prof. Dino Pedreschi Dott.ssa Fosca Giannotti. P.h.D . Candidate: Anna Monreale. PRIVACY AND security Issues IN Data Mining. University of Pisa Department of Computer Science. Privacy-Preserving Data Mining. New privacy-preserving data mining techniques:

633 views • 6 slides