David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Mining and Machine Learning Lecture 1: Why data is useful, and overview of DMML:

David Corne Heriot-Watt University - These slides and related resources: Overview of My Lectures

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Module assessment 100% by coursework Three main items of coursework, CW 1: 30% CW 2: 40% CW 3: 30% Two small items of coursework (A and B), worth 0%, but if you don’t do them adequately you fail the module.

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Coursework submission ALL coursework must be submitted as follows as PDF by to the c/w is an attachment Subject line: DMML Coursework A –(… or B, 1, 2, 3) Body of the includes your Name and your Course (e.g. Joe Smith, BSc CS – Jill Brown, MSc AI)

David Corne Heriot-Watt University - These slides and related resources: Office Hour Doodle Poll

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: At last, the lecture

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: What some people think can be done with data Answer simple questions like: How many female clients do we have? How much paint did we sell in 2007? Which is the most profitable branch of our supermarket? Which postcodes suffered the most dropped calls in July?

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: that is so

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: that is so Boring

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: More interesting things that can be done with data Answer difficult and valuable questions like: How can we predict Ovarian cancer early enough to treat it successfully? How can I make significant profit on the stock market next month? Two different authors claim to have written this story – how can we resolve the dispute? How can we get our customers to spend more money in the store? Is this loan applicant a good credit risk? Is this sonar image a mine, or a rock? What other websites will this browser be interested in?

Some competitions at

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Mining - Definition & Goal Definition – Data Mining is the exploration and analysis of (often) large quantities of data in order to discover meaningful patterns and rules Goal – To permit some other goal to be achieved or performance to be improved through a better understanding of the data

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Some examples of large databases Retail basket data: much commercial DM is done with this. In one store, 18,000 baskets per month Tesco has >500 stores. Per year, 100,000,000 baskets ? The Internet ~ >20,000,000,000 pages Lots of datasets: UCI Machine Learning repository How can we begin to understand and exploit such datasets? Especially the big ones?

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Like this …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: and this …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: or this … see ndemo/html/root.html

What on Earth is ‘big data’ anyway? Or this

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Mining & Machine Learning - Basics Data Mining is the process of discovering patterns and inferring associations in raw data … a collection of techniques intended to analyse small or large amounts of data … can employ a range of techniques, either individually or in combination with each other Machine Learning is the same, but the term ML emphasises a range of more sophisticated algorithms that try to learn accurate predictive models of data

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Mining – Why is it important? Data are being generated in enormous quantities Data are being collected over long periods of time Data are being kept for long periods of time Computing power is formidable and cheap A variety of Data Mining software is available All of these data contain `hidden knowledge’ – facts, rules, patterns, that can be usefully exploited if we can find them.

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources:

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Some basic terminology GenderweightheightAge in mths100m time Male52kg1.71m s Male89kg1.92m s Female48kg1.67m s Male86kg1.96m s Male80kg1.88m s etc …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: This is called a data instance or a record or just a line of data GenderweightheightAge in mths100m time Male52kg1.71m s Male89kg1.92m s Female48kg1.67m s Male86kg1.96m s Male80kg1.88m s etc …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: This is called a field or an attribute; the value of the Age field in the 4 th record is 274 GenderweightheightAge in mths100m time Male52kg1.71m s Male89kg1.92m s Female48kg1.67m s Male86kg1.96m s Male80kg1.88m s etc …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Usually we are interested in predicting the value of a particular field, given the values of the other fields. What we want to predict is called the class field, or the target class GenderweightheightAge in mths100m time Male52kg1.71m s Male89kg1.92m s Female48kg1.67m s Male86kg1.96m s Male80kg1.88m s etc …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Some data-mining related projects that I am currently working on (either myself, or with a PhD student or RA) Analysing flow cytometry data to detect the presence of specific contaminants in sea-water samples Predicting which of two or more writers is the author of a given piece of text Discovering which subsets of many thousands of genes play a role in specific diseases (cancer, diabetes, etc) Discovering technical trading rules for stock market trading

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Who wrote text chunk 4? … AuthorA … AuthorA … AuthorB … ? Word usage `Fingerprint’ of a 1,000 word chunk of text

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Did the Dow Jones go up or down in the following week?

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Down

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Will the Dow Jones go up or down tomorrow?

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Mining – Tasks Classification - Example: high risk for cancer or not Estimation/Prediction - Example: household income / sales Association Rules- Example: people who buy X, often also buy Y with a probability of Z Clustering - similar to classification but no predefined classes; identifies meaningful segments of a dataset, discovers structure in data

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Warehousing Note that Data Mining is very generic and can be used for detecting patterns in almost any data – Retail data – Genomes – Climate data – Etc. Data Warehousing, on the other hand, is almost exclusively used to describe the storage of data in the commercial sector

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: What you should do this week Browse the UCI Machine Learning repository datasets and associated information; get acquainted with data Browse the statlib datasets archive, get acquainted with that too. Browse the website - to give you some idea of how hot data mining ishttp:// And then …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Coursework A (0 marks, but you fail if you don’t submit an adequate attempt) Find three other dataset repositories as follows: 1.One that specialises in sports data 2.One that specialises in time series data 3.One that specialises in anything else that is interesting. For each of these three, tell me the URL, and write one paragraph, ~100 words, in your own words, describing the contents of this repository, Submit on or before 23:59pm Friday October 11th

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Au revoir

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: If interested… Some slides about data warehousing; I don’t consider this an essential part of this module, but in case you want to know what data warehousing is …

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Warehousing - Definitions “ A subject-oriented, integrated, time-variant and nonvolatile collection of data in support of management's decision making process ” W. H. Inmon, "What is a Data Warehouse?" Prism Tech Topic, Vol. 1, No. 1, a very influential definition. “ A copy of transaction data, specifically structured for query and analysis ” Ralph Kimball, from his 2000 book, “The Data Warehouse Toolkit”

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Warehouse – why? For organisational learning to take place data from many sources must be gathered together over time and organised in a consistent and useful way Data Warehousing allows an organisation to remember its data and what it has learned about its data Data Mining techniques make use of the data in a Data Warehouse and subsequently add their results to it

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources:

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Warehouse - Contents A Data Warehouse is a copy of transaction data specifically structured for querying, analysis and reporting The data will normally have been transformed when it was copied into the Data Warehouse The contents of a Data Warehouse, once acquired, are fixed and cannot be updated or changed later by the transaction system - but they can be added to of course

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: Data Marts A Data Mart is a smaller, more focused Data Warehouse – a mini-warehouse A Data Mart will normally reflect the business rules of a specific business unit within an enterprise – identifying data relevant to that unit’s acitivities

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: From Data Warhousing to Machine Learning, via Data Marts

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: The Big Challenge for Data Mining The largest challenge that a Data Miner may face is the sheer volume of data in the Data Warehouse It is very important, then, that summary data also be available to get the analysis started The sheer volume of data may mask the important relationships in which the Data Miner is interested Being able to overcome the volume and interpret the data is essential to successful Data Mining

David Corne, and Nick Taylor, Heriot-Watt University - These slides and related resources: What happens in practice … Data Miners, both “farmers” and “explorers”, are expected to utilise Data Warehouses to give guidance and answer a limitless variety of questions The value of a Data Warehouse and Data Mining lies in a new and changed appreciation of the meaning of the data There are limitations though - A Data Warehouse cannot correct problems with its data, although it may help to more clearly identify them