Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) - Image 1

£65.50

Morgan Kaufmann Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Name: Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Brand: Morgan Kaufmann
Price: 65.5 GBP
Availability: InStock

9780128117606

Data Mining

This is the most expensive it has ever been. Walk away.

£66 today · previous high £66 · all-time low £63

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 57 days · 57 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 57 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £66 (49 days, 86.0%)

Price range: £63 - £66

Price levels: 2 different prices over 57 days

Description

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata

Key Features

New Store Stock

Product Specifications

Brand: Morgan Kaufmann
Model: 9780128117606
Format: paperback
ASIN: 0128117605
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 30 October 2022
Listed Since: 01 August 2021

Barcode

No barcode data available

Morgan Kaufmann Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)

Deep Learning: Convergence to Big Data Analytics (SpringerBriefs in Computer Science)

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Deep Learning Innovations and Their Convergence With Big Data (Advances in Data Mining and Database Management (ADMDM))

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III: 11441 (Lecture Notes in Computer Science, 11441)

Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Advanced Data Mining Techniques

Concepts and Real-Time Applications of Deep Learning (EAI/Springer Innovations in Communication and Computing)

Introduction to Deep Learning for Healthcare

Data Analytics and AI (Data Analytics Applications)

Meta-Learning in Computational Intelligence: 358

Data Analytics and AI (Data Analytics Applications)

Handbook of Statistics: Data Mining and Data Visualization: 0: Volume 24 (Handbook of Statistics, Volume 24)

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

Principles and Labs for Deep Learning

Advances in Machine Learning/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2: 23 (Learning and Analytics in Intelligent Systems, 23)

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence AI: Elementary to Advanced Practices)

Wiley Machine Learning Algorithms and Applications Book

Mathematical Foundations of Deep Learning Models and Algorithms (Graduate Studies in Mathematics)

Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday: 202 (Springer Optimization and Its Applications, 202)

Deep Learning: A Visual Approach