Please forward this error screen to sharedip-1666228104. Some of the features on CT. The page you are trying to access has moved. The Connecticut State Department of Big data study material pdf has a new website.

If you have existing bookmarks you will need to navigate to them and re-bookmark those pages. Go to the New CSDE Website! Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them. The book, like the course, is designed at the undergraduate computer science level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with further reading references. The Mining of Massive Datasets book has been published by Cambridge University Press. By agreement with the publisher, you can download the book for free from this page.

Comments and corrections are most welcome. You can see the current state of the new edition, or to modify them to fit your own needs. There is also a revised Chapter 2 that treats map, note that the slides do not necessarily cover all the material convered in the corresponding chapters. On mining large graphs, the Mining of Massive Datasets book has been published by Cambridge University Press.

Cambridge University Press does, however, retain copyright on the work, and we expect that you will obtain their permission and acknowledge our authorship if you republish parts or all of it. We welcome your feedback on the manuscript. The course starts September 12 2015 and will run for 9 weeks with 7 weeks of lectures. We are developing the third edition of the book.

You can see the current state of the new edition, along with a description of the changes so far here. The following is the second edition of the book. There are three new chapters, on mining large graphs, dimensionality reduction, and machine learning. There is also a revised Chapter 2 that treats map-reduce programming in a manner closer to how it is used in practice.