15 Credits SPRING



Aims/Description: As the volume of and types of information collected and stored in databases grows, there is a growing need to gain new insights into the data by identifying important patterns and trends, and summarising the findings to inform decision making. Such insights can provide huge economic value and competitive advantages. Data Mining is the process by which this is done. This module will examine fundamental algorithms for clustering and classifying data as well as data visualisation strategies and data mining applications. Students will be introduced to key themes in data mining, including types of data mining problem (e.g. classification, clustering, rule mining), common algorithms used in machine learning (e.g. SVM, decision trees, k-means), feature selection and evaluation issues (e.g. measures and standardised benchmarks). It will also explore Data Visualisation (and visual analytics), the graphical representation of information that provides a qualitative understanding of the information on which decisions can be based. The last part of the module will present different applications of data mining to improve businesses (e.g., opinion mining) and user experience (e.g., recommender systems). Case studies will be used throughout the module to highlight the use of data mining methods and visualisation for tackling real-world problems. Students will gain practical hands-on experience through the use of widely used software tools (e.g. WEKA for data mining and Tableau Public for visualisation).

Staff Contact: Prof Val Gillet
Teaching Methods: Lectures, Problem solving, Laboratory work, Independent Study
Assessment: Course work
WebCT resources are available for this module

Information on the department responsible for this unit (Information School):

Departmental Home Page
Teaching timetable

|

NOTE
Every effort has been made to ensure the accuracy of the presented information, but the University can accept no responsibility for any errors or omissions. University courses are continually reviewed and revised. The University reserves the right to discontinue courses of study and to amend Ordinances and Regulations governing courses of study whenever it sees fit. Students and others should enquire as to the up-to-date position when they need to know this.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Western Bank, Sheffield, S10 2TN, UK