Natural Language Processing on Time Series Presenter: Sara Alaee

Slides:



Advertisements
Similar presentations
Introducción a la Optimización de procesos químicos. Curso 2005/2006 BASIC CONCEPTS IN OPTIMIZATION: PART II: Continuous & Unconstrained Important concepts.
Advertisements

How to Graph a Linear Inequality. Linear Inequalities linear inequality  A linear inequality describes a region of the coordinate plane that has a boundary.
Economics 214 Lecture 7 Introduction to Functions Cont.
Class 25: Question 1 Which of the following vectors is orthogonal to the row space of A?
Economics 214 Lecture 4. Special Property Composite Function.
Please open your laptops, log in to the MyMathLab course web site, and open Quiz 3.1 IMPORTANT NOTE: If you have time left on your quiz clock after you.
Consumer Education. Tips 1) The subject line should contain a clue as to what the is about. Do not write complete sentences in the subject.
2-4 A Variety of Graphs Piecewise Functions. What are Piecewise Functions? Piecewise functions are defined for specific domains. The most basic example.
Dr. Ahmed Abdelwahab Introduction for EE420. Probability Theory Probability theory is rooted in phenomena that can be modeled by an experiment with an.
Common Core Math I Unit 1 Day 2 Frequency Tables and Histograms
Class 26: Question 1 1.An orthogonal basis for A 2.An orthogonal basis for the column space of A 3.An orthogonal basis for the row space of A 4.An orthogonal.
Graphing a Linear Inequality
Slide Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley A set of equations is called a system of equations. The solution.
GraphsTablesEquationsVocabularyFunctions.
x y Example 1 x y X = 3.
Welcome This is a template to create an Instructional Design Document of the concept you have selected for creating animation. This will take you through.
Warm-Up 3.3 1) Graph y < -x + 1 2) Graph the system.
Warm-Up #34 Thursday, 12/10. Homework Thursday, 12/10 Lesson 4.02 packet Pg____________________.
Advanced Mathematics D. Chapter Four The Derivatives in Graphing and Application.
Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note- taking materials.
CHAPTER 1 Linear Equations Section 1.1 p1.
Copyright © Cengage Learning. All rights reserved.
CLOSE Please YOUR LAPTOPS, and get out your note-taking materials.
2008/09/22: Lecture 6 CMSC 104, Section 0101 John Y. Park
Exploring Data Patterns
Copyright © Cengage Learning. All rights reserved.
Solve Linear Systems by Graphing
Please close your laptops
Mathematical Notions and Terminology
U4D3 Warmup: Find the mean (rounded to the nearest tenth) and median for the following data: 73, 50, 72, 70, 70, 84, 85, 89, 89, 70, 73, 70, 72, 74 Mean:
1.4 Polygons.
Linear vs. Nonlinear Functions!
Introduction To Robot Decision Making
Chapter 2: Analysis of Graphs of Functions
Rosen 5th ed., §3.2 ~9 slides, ~½ lecture
3.1 Section 2.2 Average and Instantaneous Rate of Change
Please check below to let us know whether you would like to participate in this project. Yes, see my contact info below No, thank you Name (s): ____________________________________.
Sequences and Series in the Complex Plane
Lesson 12 – Social Skill: Making a Complaint.
How to create your Assistments Account
Welcome to the European Shoemaker e-learning platform introduction
Only current 10th and 11th graders. Who may apply? Only current 10th and 11th graders.
Section 1.1 Functions and Change
Dependent and Independent Variables
Warm Up Solve each quadratic equation by factoring. Check your answer.
NP-Complete Problems.
x-Value = The horizontal value in an ordered pair or input Function = A relation that assigns exactly one value in the range to each.
2 Chapter Numeration Systems and Sets
Rosen 5th ed., §3.2 ~9 slides, ~½ lecture
Section 8.3 Graphs of Functions.
Sampling Distributions
Climate Surveys.
Introduction to Data Structures
Translate, Rotate, Reflect!
6.3 Modeling Linear Associations
Constraint satisfaction problems
Maths for Signals and Systems Linear Algebra in Engineering Lectures 4-5, Tuesday 18th October 2016 DR TANIA STATHAKI READER (ASSOCIATE PROFFESOR) IN.
Y x
Activating Prior Knowledge –
4.13 Explain characteristics of effective data-collection instruments.
Inequalities Some problems in algebra lead to inequalities instead of equations. An inequality looks just like an equation, except that in the place of.
Linear Systems Systems of Linear Equations
Drill #4 Evaluate the following if a = -2 and b = ½. 1. ab – | a – b |
DETERMINANT MATH 80 - Linear Algebra.
AP Language and Composition Multiple Choice Section
Translate, Rotate, Reflect!!!
Constraint satisfaction problems
NULL SPACES, COLUMN SPACES, AND LINEAR TRANSFORMATIONS
Visual Algebra for Teachers
Scatterplots, Association, and Correlation
Presentation transcript:

Natural Language Processing on Time Series Presenter: Sara Alaee

Definitions A time series is a series of data points graphed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. [Wikipedia] A subsequence is a subset of the data in the time series. subsequence 10 20 30 40 50 60 70 80 90 100 -3 -2 -1 1 2 3 4 Time series

What do we want? We want you to describe some time series with the given keywords. How? Look at the red subsequences in the time series, Consider the context, i.e. the gray regions to the left and right of the red subsequence, Check the keywords that seem relevant to you. (Keywords correspond to the entire time series.) Let’s see an example. But before that, some definitions…

Definitions Noisy vs. Smooth The following figures are extreme examples of Noisy/Smooth, Concave/Convex and Linear/Nonlinear time series. 2.5 100 2 90 1.5 80 Noisy vs. Smooth 1 70 0.5 60 50 -0.5 40 -1 30 -1.5 20 -2 10 -2.5 10 20 30 40 50 60 70 80 90 100 10 20 30 40 50 60 70 80 90 100

Definitions (cont.) Concave vs. Convex Convex Concave 1 0.9 -0.1 0.8 0.9 -0.1 0.8 -0.2 0.7 -0.3 Concave vs. Convex 0.6 -0.4 0.5 -0.5 Convex Concave 0.4 -0.6 0.3 -0.7 0.2 -0.8 0.1 -0.9 -1 500 1000 1500 2000 2500 3000 3500 500 1000 1500 2000 2500 3000 3500

Definitions (cont.) Linear vs. Nonlinear 10 100 1.5 90 1 80 70 0.5 60 50 40 -0.5 30 20 -1 10 -1.5 10 20 30 40 50 60 70 80 90 100 20 40 60 80 100 120

Example Consider the figure below. Question: Which keywords describe the red subsequence? (Exactly one choice per row. If you are not sure that either apply, use your best judgement to pick one.)

Example (cont.) A typical user might say it is “Symmetric”, “Smooth”, “Concave” and “Non-linear”. But to be clear, there may be no right answer. How would you describe it?

Assignment We will send a survey, consisting of the time series in question, to your email. Please follow the instructions and submit your responses. Thank you.