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magistraleinformatica:dmi:start

Data Mining (309AA) - 9 CFU A.Y. 2021/2022

Instructor:

Teaching Assistant:

News

Learning Goals

  • Fundamental concepts of data knowledge and discovery.
  • Data understanding
  • Data preparation
  • Clustering
  • Classification & Regression
  • Pattern Mining and Association Rules
  • Outlier Detection
  • Time Series Analysis
  • Sequential Pattern Mining
  • Ethical Issues

Hours and Rooms

Classes

Day of Week Hour Room
Wednesday 14:00 - 16:00 Room C - Online
Thursday 14:00 - 16:00 Room C - Online
Friday 09:00 - 11:00 Room A1 - Online

Office hours - Ricevimento: Anna Monreale: Wednesday: 11:00-13:00 online using Teams (Appointment by email) Francesca Naretto: Monday: 15:00-18:00 online using Teams (Appointment by email)

Learning Material -- Materiale didattico

Textbook -- Libro di Testo

Slides

Software

  • Python - Anaconda (3.7 version!!!): Anaconda is the leading open data science platform powered by Python. Download page (the following libraries are already included)
  • Scikit-learn: python library with tools for data mining and data analysis Documentation page
  • Pandas: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Documentation page

Class Calendar (2021/2020)

First Semester

Day Topic Learning material References Video Lectures
15.09 14:15‑16:00 Lecture deleted
1. 16.09 14:15‑16:00 Overview. Introduction to KDD 2021-1-overview.pdf1-intro-dm.pdf Chap. 1 Kumar Book Video 1 Video 2
2. 17.09 09:00-10:45 Data Understanding Slides DU Chap.2 Kumar Book and additioanl resource of Kumar Book:Exploring Data If you have the first ed. of KUMAR this is the Chap 3 Video 1 Video 2
3. 22.09 14:15-16:00 Data Understanding + Data Preparation 3-data_preparation.pdf Chap. 2 Kumar Book Video
4. 23.09 14:15-16:00 Data Preparation + Data Similarities.4-data_similarity.pdf Data Similarity is in Chap. 2
5. 24.09 09:00-10:45 Introduction to Clustering. Center-based clustering: kmeans 5-basic_cluster_analysis-intro.pdf 6.1-basic_cluster_analysis-kmeans.pdf Clustering is in Chap. 7

Exams

Mid-term Project

A project consists in data analyses based on the use of data mining tools. The project has to be performed by a team of 2/3 students. It has to be performed by using Python. The guidelines require to address specific tasks. Results must be reported in a unique paper. The total length of this paper must be max 20 pages of text including figures. The students must deliver both: paper (single column) and well commented Python Notebooks.

Paper Presentation (OPTIONAL)

Students need to present a research paper (made available by the teacher) during the last week of the course. This presentation is OPTIONAL: Students that decide to do the paper presentation can avoid the oral exam with open questions. They only need to present the project (see next point).

Oral Exam

  • Project presentation (with slides) – 10 minutes: mandatory for all the students
  • Open questions on the entire program: optional only for students opting for paper presentation.

Reading About the "Data Scientist" Job

… a new kind of professional has emerged, the data scientist, who combines the skills of software programmer, statistician and storyteller/artist to extract the nuggets of gold hidden under mountains of data. Hal Varian, Google’s chief economist, predicts that the job of statistician will become the “sexiest” around. Data, he explains, are widely available; what is scarce is the ability to extract wisdom from them.

Data, data everywhere. The Economist, Special Report on Big Data, Feb. 2010.

  • Data, data everywhere. The Economist, Feb. 2010 download
  • Data scientist: The hot new gig in tech, CNN & Fortune, Sept. 2011 link
  • Welcome to the yotta world. The Economist, Sept. 2011 download
  • Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review, Sept 2012 link
  • Il futuro è già scritto in Big Data. Il SOle 24 Ore, Sept 2012 link
  • Special issue of Crossroads - The ACM Magazine for Students - on Big Data Analytics download
  • Peter Sondergaard, Gartner, Says Big Data Creates Big Jobs. Oct 22, 2012: YouTube video
  • Towards Effective Decision-Making Through Data Visualization: Six World-Class Enterprises Show The Way. White paper at FusionCharts.com. download

Previous years

magistraleinformatica/dmi/start.txt · Ultima modifica: 24/09/2021 alle 08:10 (30 ore fa) da Anna Monreale