Subject: Subject Sylbus: Data Analysis - 046193 (Current)

Data Analysis - 046193
Credit
Points
3.0
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1      

Determination of the grade according to progress during the semester.


Prerequisites: ( Signals and Systems 044130
and Introduction to Probability H 104034 )


Of Statistical Inference
Parametric and Non-Parametrics Estimation, Hypothesis Testing. Data Preprocessing. Feature Selection. Dimensionality Reduction: Pca, Svd, Nonlinear Extensions. Distance and Similarity Measures. Clustering Algorithms. Frequency and Association Mining. Outlier Analysis. Representative Applications. Introduction to Data Mining Methods and Unsupervised

Learning Outcomes
Upon Completing the Course, Students Will Be Able to:
1. Explain the Basic Issues of Data Analysis.
2. Explain and Implement Statistical Methods for Parameter Estimation and Hypothesis Testing.
3. Explain and Implement Basic Approaches for Feature Selection.
4. Explain and Implement Algorithms for Data Dimensionality Reduction.
5. Explain and Implement Algorithms for Frequency and Correlation.
6. Explain and Implement Algorithms for Data Clustering.
7. Explain and Implement Algorithms for Outlier Detection.


הערות
מתרגל ובודק תרגילים : עפרוני יונתן




Times and places of examinations 01/2017 2017/2018 Winter Semester
examination timedaydateSeason
 Sunday04.02.2018א
 Tuesday06.03.2018ב

Timetable to semester 01/2017 2017/2018 Winter Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
506Fishbach10:30-12:30TuesdayFull Professor Meir RonLecture1011
506Fishbach12:30-13:30Tuesday Exercise11


System of hours to the semesters
Semester Previous Semester information 02/2016 2016-2017 Spring Semester


Textbooks
PublishedPublisherAuthorsBook
2015 c aggrawaldata mining the textbook, springer
2011morgan kaufmanni.h wittens e. frank and m.a. hall.data mining practical machine learning tools and techniques, 3rd
2011morgan kaufmanj. han, m kamber and j. pei,data mining concepts and techniques
2011cambridgen. japkowicz and m. shah,evaluating learning algorithms,
2004springerl. wassermanall of statistics

Created in 23/11/2017 Time 05:17:45