
Principles of Data Mining by Max Bramer
This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.-
Modelling Computing Systems
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Sets, Logic and Maths for Computing
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Principles of Digital Image Processing
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Introduction to Artificial Intelligence
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A First Introduction to Quantum Computing and Information
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Introduction to Data Science
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A Practical Approach to Compiler Construction
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A Concise Introduction to Languages and Machines
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Fundamentals of Discrete Math for Computer Science
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Data Structures and Algorithms with Python
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Mathematics for Computer Graphics
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A Beginners Guide to Python 3 Programming
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Philosophical and Cultural Aspects of Computing
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Pattern Recognition
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Introduction to Deep Learning
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Financial Software Engineering
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Guide to Competitive Programming
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Advanced Guide to Python 3 Programming
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Introduction to Medical Image Analysis
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Introduction to Video and Image Processing
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Introduction to Software Quality
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Multicore Programming Using the ParC Language
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Introduction to HPC with MPI for Data Science
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Computability and Complexity
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Object-Oriented Programming Languages: Interpretation
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Introduction to Parallel Computing
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Concise Guide to Databases
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Human-Centred Scientific Data Visualisation
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Guide to Using Generative AI in Programming
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Programming in HTML and PHP
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Introduction to Cryptographic Definitions
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Proofs and Algorithms
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Introduction to Software Process Improvement
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Rigorous Software Development
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Sensing and Systems in Pervasive Computing
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Autonomic Computing
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OCaml Scientific Computing
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Applied Logic for Computer Scientists
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Basic Graph Theory
From the reviews of the second edition: "This book introduces the concept of data mining and explains the various techniques involved... This book is written primarily as a text for a course on data mining. The rich pedagogical features, including illustrations, examples, solved problems, exercises and solutions, a glossary, and references, make it an ideal choice for that purpose. It would be very useful for any reader who wants to gain a good understanding of data mining concepts and techniques." (Alexis Leon, Computing Reviews, September, 2013)
| SKU | Unavailable |
| ISBN 13 | 9781447148838 |
| ISBN 10 | 1447148835 |
| Title | Principles of Data Mining |
| Author | Max Bramer |
| Series | Undergraduate Topics In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2013-02-21 |
| Number of pages | 440 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































