'Attribute values' presentation slideshows

NoSQL DBs

NoSQL DBs. What are the positives of relational DBs?. Relational Positives. Historical positives of RDBMS: Can represent relationships in data Easy to understand relational model/SQL Disk-oriented storage I ndexing structures Consistent values in DB - transactions.

1.27k views • 114 slides

Chapter 6. Classification and Prediction

What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation. Support Vector Machines (SVM) Associative classification

1.3k views • 99 slides

Indexing and Searching

Indexing and Searching. J. H. Wang Feb. 20, 2008. Text. User Interface. 4, 10. user need. Text. Text Operations. 6, 7. logical view. logical view. Query Operations. DB Manager Module. Indexing. user feedback. 5. 8. inverted file. query. Searching. Index. 8.

1.17k views • 76 slides

942 views • 76 slides

Data mining and its application and usage in medicine

Data mining and its application and usage in medicine. By Radhika. Data Mining and Medicine. History Past 20 years with relational databases More dimensions to database queries earliest and most successful area of data mining Mid 1800s in London hit by infectious disease Two theories

1.45k views • 63 slides

Lecture outline

Lecture outline. Classification Decision-tree classification. What is classification?. What is classification?. Classification is the task of learning a target function f that maps attribute set x to one of the predefined class labels y. What is classification?. Why classification?.

681 views • 46 slides

JC Raymond, Education, SAS Bill Fehlner, Education, SAS

Programming Techniques in SAS: Using the Macro Facility. Programming Techniques in SAS: Using the Macro Facility. &. %. &. &. %. &. %. %. %. &. %. &. &. %. %. %. &. &. %. &. &. %. &. %. %. &. %. %. %. &. %. &. &. &. %. &. &. %. &. &. &. &. %. %. &.

596 views • 46 slides

Chapter 3

Chapter 3. The Entity-Relationship Model. ER Model. Conceptual Design answers: What are the entities and relationships? What information about these entities and relationships should we store in the database? What are the integrity constraints or business rules? ER Model Concepts:

962 views • 46 slides

Persistent Management of Distributed Data Reagan W. Moore University of California, San Diego San Diego Supercomputer Ce

Persistent Management of Distributed Data Reagan W. Moore University of California, San Diego San Diego Supercomputer Center moore@sdsc.edu http://www.npaci.edu/DICE/. Staff Reagan Moore Ilkai Altintas Chaitan Baru Sheau Yen Chen Charles Cowart Amarnath Gupta George Kremenek

686 views • 43 slides

Decision tree

Decision tree. LING 572 Fei Xia 1/10/06. Outline. Basic concepts Main issues Advanced topics. Basic concepts. A classification problem. Classification and estimation problems. Given a finite set of (input) attributes: features Ex: District, House type, Income, Previous customer

811 views • 42 slides

Chapter 9

Chapter 9. Database Management Systems. Objectives for Chapter 9. Operational problems inherent in the flat file approach to data management that gave rise to the database concept The relationships among the defining elements of the database environment

556 views • 40 slides

Security Attribute Evaluation Method: A Cost Benefit Analysis

749 views • 39 slides

Decision Tree Learning

Decision Tree Learning. Machine Learning, T. Mitchell Chapter 3. Decision Trees. One of the most widely used and practical methods for inductive inference Approximates discrete-valued functions (including disjunctions) Can be used for classification (most common) or regression problems.

703 views • 36 slides

Sphinx

608 views • 32 slides

Sphinx

732 views • 32 slides

Compiler course

287 views • 22 slides

Classes & Objects

351 views • 22 slides

UML Class Diagram and Packages

UML Class Diagram and Packages. What is a Class Diagram?. A class diagram describes the types of objects in the system and the various kinds of static relationships that exist among them A graphical representation of a static view on static elements

427 views • 20 slides

Case Based Reasoning

Case Based Reasoning . Lecture 6: CBR Acquisition, Testing and Maintenance of Case-Bases . Outline. Knowledge Containers Knowledge Acquisition Testing Maintenance Reading. CBR Knowledge Containers. Representation Language representation of cases

381 views • 17 slides

Introduction to Classes

Introduction to Classes. Motivation Class Components Instance Variables Constructors The Student Class Exercises. Motivation: The Problem. Primitive Data types and Strings are not enough to write useful real-life programs. Example of some real life problems:

340 views • 15 slides