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CPS 196.03: Information Management and Mining

CPS 196.03: Information Management and Mining

CPS 196.03: Information Management and Mining. Association Rules and Frequent Itemsets. Let Us Begin with an Example. A common marketing problem: examine what people buy together to discover patterns. What pairs of items are unusually often found together at Kroger checkout?

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562 views • 45 slides
Trend Analysis

Trend Analysis

Trend Analysis. Step vs. monotonic trends; approaches to trend testing; trend tests with and without exogeneous variables; dealing with seasonality; Introduction to time series analysis; Step trends. Testing for Trends. Purpose:

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885 views • 45 slides
OST: Chapter 3 (Part 2)

OST: Chapter 3 (Part 2)

OST: Chapter 3 (Part 2). Job shop production 2 (QAP). The Quadratic Assignment Problem (QAP). The LAP assumed that there are direct cost c ij of assignment of machine i to location j

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433 views • 43 slides
ENGR 610 Applied Statistics Fall 2007 - Week 9

ENGR 610 Applied Statistics Fall 2007 - Week 9

ENGR 610 Applied Statistics Fall 2007 - Week 9. Marshall University CITE Jack Smith. Overview for Today. Review Design of Experiments , Ch 10 One-Factor Experiments Randomized Block Experiments Go over homework problems: 10.27, 10.28 Design of Experiments , Ch 11

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515 views • 34 slides
The Quadratic Assignment Problem (QAP)

The Quadratic Assignment Problem (QAP)

The Quadratic Assignment Problem (QAP). common mathematical formulation for intra-company location problems cost of an assignment is determined by the distances and the material flows between all given entities

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613 views • 34 slides
The Quadratic Assignment Problem (QAP)

The Quadratic Assignment Problem (QAP)

The Quadratic Assignment Problem (QAP). common mathematical formulation for intra-company location problems cost of an assignment is determined by the distances and the material flows between all given entities

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396 views • 34 slides
Stat 35b: Introduction to Probability with Applications to Poker Outline for the day:

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day:

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: 0. Collect hw2, return hw1, give out hw3. Project A competition. Bernoulli, binomial. Geometric random variable. Negative binomial E(X+Y) Harman / Negreanu , P(flop 2 pairs) Running it twice

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189 views • 13 slides
CS 61B Data Structures and Programming Methodology

CS 61B Data Structures and Programming Methodology

CS 61B Data Structures and Programming Methodology. July 14, 2008 David Sun. Announcement. Project 1 Due Tomorrow at 11:00a.m. Due to technical problems, for HW1 everyone will get credit. Today. More on asymptotic analysis. Analysis Example 1. Problem 1

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221 views • 12 slides
Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Midterm.

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Midterm.

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Midterm. Review of Bernoulli and binomial random variables. Geometric random variables. Negative binomial. E(X+Y). Harman, Negreanu and running it twice. ? ? u ? ? ? u ?. Midterm.

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222 views • 9 slides

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