'Rule induction' presentation slideshows

Issues in Data Mining Infrastructure

Issues in Data Mining Infrastructure. Authors: Nemanja Jovanovic, nemko@acm.org Valentina Milenkovic, tina@eunet.yu Voislav Galic, vgalic@bitsyu.net Dusan Zecevic, zdusan@titan.etf.bg.ac.yu Sonja Tica, ticaz@eunet.yu Prof. Dr. Dusan Tosic, dtosic@matf.bg.ac.yu

946 views • 80 slides

Quick Review

Quick Review. Get paper and pencil out. Not graded just for review. Questions. Write a derivation tree for pred(succ(zero)) int. S. Z. P. X int. X int. succ( X ) int. zero int. pred( X ) int. Is the rule below derivable, admissible, or neither?. S. Z. P. R0. X int. X int.

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Web Mining

619 views • 43 slides

Weka

Weka. Preprocessing. Opening a file. Editing a file. Visualize a variable. Visualizing pairs of variables. Missing values. Discretizing with equalfrequency . Proportional k-interval discretization. FSS: ranking variables with mutual information. FSS. Filter FSS: CFS.

571 views • 41 slides

Human Computer Studies

Human Computer Studies. 2004: a good year for Computational Grammar Induction January 2005 Pieter Adriaans Universiteit van Amsterdam pietera@science.uva.nl http://turing.wins.uva.nl/~pietera/ALS/. GI Research Questions. Research Question: What is the complexity of human language?

512 views • 40 slides

Weka

Weka. Preprocessing. Opening a file. Editing a file. Visualize a variable. Visualizing pairs of variables. Missing values. Discretizing with equalfrequency . Proportional k-interval discretization. FSS: ranking variables with mutual information. FSS. Filter FSS: CFS.

634 views • 38 slides

Rule Induction

Rule Induction. Rule Induction Algorithms. Hypothesis Space: Sets of rules (any boolean function) Many ways to search this large space Decision trees -> Rules is one ( simultaneous covering ) Following example: greedy sequential covering algorithm (similar to CN2). Some FOL Terminology.

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Rule Induction

Rule Induction.

512 views • 31 slides

Formal Semantics of Programming Language s

Formal Semantics of Programming Language s. Topic 3: Principles of Induction. ??? yhq@ecust.edu.cn. Induction. Proving of program properties often uses mathematical induction. Prove properties of a programming language by proving a small finite set of claims.

420 views • 31 slides

SHIM 413 Database Applications for Healthcare Fall 2006

SHIM 413 Database Applications for Healthcare Fall 2006. Slides by H. T. Bao. Outline of the presentation. Objectives, Prerequisite and Content. Objectives, Prerequisite and Content. Brief Introduction to Lectures. Discussion and Conclusion .

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Supporting End-User Access

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DATA MINING

DATA MINING. Handling Missing Attribute Values and Knowledge Discovery. Shahzeb Kamal Olov Junker Amsterdam Uppsala. DATA MINING. Process of Extracting Information from a Database & transforming it into understandable structure Why? Because data in real world is ugly Incomplete

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A Genetic Algorithm for Text Classification Rule Induction

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A Genetic Algorithm for Text Classification Rule Induction

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Programming Language Semantics Inductive Definitions

Programming Language Semantics Inductive Definitions. Mooly Sagiv Eran Yahav msagiv@post yahave@post Schrirber 317 Open space 03-640-7606 03-640-5358 html://www.cs.tau.ac.il/~msagiv/courses/sem03.html Textbook:Winskel The Formal Semantics of Programming Languages

347 views • 21 slides

Data Mining

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Knowledge Acquisition

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Datamining in e-Business: Veni, Vidi, Vici!

Datamining in e-Business: Veni, Vidi, Vici!. by Prof. Dr. Veljko Milutinovic. THIS IS A DEMO VERSION OF THE TUTORIAL IN DATAMINING FOR E-BUSINESS. ONLY A FEW SLIDES OF THE ORIGINAL TUTORIAL ARE PRESENTED HERE. Focus of this Presentation. Data Mining problem types.

291 views • 10 slides

Data Mining

Data Mining. dr Iwona Schab. Semester timetable. ORGANIZATIONAL ISSUES, INDTRODUCTION TO DATA MINING 1 Sources of data in business, administration, science and technology. 2 The process of discovering knowledge in data; the role of data mining in this process.

346 views • 8 slides