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Data Mining and Machine Learning Module
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IntroductionPDF
Introduction and Knowledge Extraction Overview
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Case Studies OutlinePDF
Competitive Intelligence Fraud Detection Health Care, Athereosclerosy...
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Data Preparation and ExplorationPDF
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ClusteringPDF
Introduction to Cluster Analysis
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ClassificationPDF
The classification task: - Input: a training set of tuples, each labelled...
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Machine Learning and Data MiningPDF
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Fraud DetectionPDF
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Exemplar Projects on Customer Relationship ...PDF
Short recap on Customer Relationship Management concepts CaseStudy2 –...
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Additional Info
| Field | Value |
|---|---|
| Availability | On-Site |
| Course | UNIPI Master in Big Data Analytics & Social Mining |
| Keywords | Data Mining |
| Keywords | Machine Learning |
| Keywords | Classification |
| Keywords | Clustering |
| Keywords | Pattern Discovery |
| Keywords | KDD Process |
| Keywords | Case Studies |
| Keywords | Data Exploration |
| Keywords | Data Preparation |
| Keywords | Data Understanding |
| Keywords | Descriptive Statistics |
| Keywords | Distance Functions |
| Keywords | Association Rules |
| Keywords | CRISP Methodology |
| Length | 8 Lectures for a 40 hour course based on 695 slides |
| Lesson number | 8 |
| Prerequisites | Data Analysis |
| Provider Institution | ISTI-CNR, UNIPI |
| Target users | Social Scientists |
| Target users | Data Scientists |
| Target users | PhD Students |
| Target users | Professionals |
| Target users | Other |
| Thematic Cluster | Text and Social Media Mining [TSMM] |
| Thematic Cluster | Social Network Analysis [SNA] |
| Thematic Cluster | Human Mobility Analytics [HMA] |
| Thematic Cluster | Web Analytics [WA] |
| Thematic Cluster | Visual Analytics [VA] |
| Thematic Cluster | Social Data [SD] |
| Training material typology | Slides |
| system:type | TrainingMaterial |
Management Info
| Field | Value |
|---|---|
| Author | BRAGHIERI MARCO |
| Maintainer | BRAGHIERI MARCO |
| Version | 1 |
| Last Updated | 29 January 2025, 19:12 (CET) |
| Created | 29 June 2018, 11:34 (CEST) |
