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Arvind Kumar (Kent State University Bansal Department of Computer Science Ohio USA),Javed Iqbal (Kent State University Khan Computer Science Ohio USA),S. Kaisar (Improlabs LLC Alam Dayton New Jersey U （2）
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共46筆商品，2/3頁
Data Mining ─ A Tutorial-based Primer
21.

Data Mining ─ A Tutorial-based Primer

作者：Richard J. Roiger  出版社：Productivity Press  出版日：2016/11/30 裝訂：平裝
This textbook provides a tutorial-based introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The book follows the format of the fi
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RapidMiner ─ Data Mining Use Cases and Business Analytics Applications
22.

RapidMiner ─ Data Mining Use Cases and Business Analytics Applications

作者：Markus Hofmann (EDT); Ralf Klinkenberg (EDT)  出版社：Taylor & Francis  出版日：2013/10/04 裝訂：精裝
RapidMiner is one of the most widely used open source data mining solutions world-wide. This book provides an application use case-based introduction to data mining and to RapidMiner (and RapidAnalyti
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Intelligent Technologies for Web Applications
23.

Intelligent Technologies for Web Applications

作者：Priti Srinivas Sajja; Rajendra Akerkar  出版社：Taylor & Francis  出版日：2012/05/21 裝訂：精裝
The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less huma
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Accelerating Discovery ─ Mining Unstructured Information for Hypothesis Generation
24.

Accelerating Discovery ─ Mining Unstructured Information for Hypothesis Generation

作者：Scott Spangler  出版社：Taylor & Francis  出版日：2015/09/03 裝訂：精裝
Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process a
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Exploratory Data Analysis Using R
25.

Exploratory Data Analysis Using R

作者：Ronald K. Pearson  出版社：Chapman & Hall  出版日：2018/04/06 裝訂：精裝
"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of usin
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Constrained Clustering ― Advances in Algorithms, Theory, and Applications
26.

Constrained Clustering ― Advances in Algorithms, Theory, and Applications

作者：Sugato Basu (EDT); Ian Davidson (EDT); Kiri Wagstaff (EDT)  出版社：Taylor & Francis  出版日：2008/08/01 裝訂：精裝
Clustering algorithms take data with any number of dimensions and group them into subsets so each member of a subset is near the other members in some sense. In 17 articles including an introduction,
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Industrial Applications of Machine Learning
27.

Industrial Applications of Machine Learning

作者：Pedro Larrañaga; Alberto Ogbechie; Javier Diaz-rozo; David Atienza; Concha Bielza  出版社：CRC Pr I Llc  出版日：2018/12/10 裝訂：精裝
Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools
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Data Mining for Design and Marketing
28.

Data Mining for Design and Marketing

作者：Yukio Ohsawa (EDT); Katsutoshi Yada (EDT)  出版社：Chapman & Hall  出版日：2017/06/07 裝訂：平裝
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing
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Exploratory Data Analysis Using R ― Includes Digital Download
90折
29.

Exploratory Data Analysis Using R ― Includes Digital Download

作者：Ronald K. Pearson  出版社：Chapman & Hall  出版日：2018/05/04 裝訂：平裝
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be fou
定價：3704 元， 優惠價：9 3334
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Data Clustering in C++: An Object-oriented Approach
30.

Data Clustering in C++: An Object-oriented Approach

作者：Guojun Gan  出版社：Chapman & Hall  出版日：2011/03/21 裝訂：精裝
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different gr
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Data Science and Analytics With Python
滿額折
31.

Data Science and Analytics With Python

作者：Jesus Rogel-salazar  出版社：Productivity Press  出版日：2017/05/16 裝訂：平裝
Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main conce
定價：3179 元， 優惠價：1 3179
無庫存，下單後進貨(到貨天數約45-60天)
Feature Engineering for Machine Learning and Data Analytics
32.

Feature Engineering for Machine Learning and Data Analytics

作者：Guozhu Dong (EDT); Huan Liu (EDT)  出版社：CRC Pr I Llc  出版日：2018/03/19 裝訂：精裝
Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book will provide a description of problems/applications/dataset types
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Human Capital Systems, Analytics, and Data Mining
33.

Human Capital Systems, Analytics, and Data Mining

作者：Robert C. Hughes  出版社：CRC Pr I Llc  出版日：2018/08/22 裝訂：精裝
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data m
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Computational Intelligent Data Analysis for Sustainable Development
滿額折
34.

Computational Intelligent Data Analysis for Sustainable Development

作者：Ting Yu (EDT); Nitesh Chawla (EDT); Simeon Simoff (EDT)  出版社：Chapman & Hall  出版日：2016/10/19 裝訂：平裝
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in
定價：3419 元， 優惠價：1 3419
無庫存，下單後進貨(到貨天數約45-60天)
Data Classification ─ Algorithms and Applications
35.

Data Classification ─ Algorithms and Applications

作者：Charu C. Aggarwal (EDT)  出版社：Taylor & Francis  出版日：2014/07/25 裝訂：精裝
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine
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Automated Data Analysis Using Excel
36.

Automated Data Analysis Using Excel

作者：Brian D. Bissett  出版社：Chapman & Hall  出版日：2020/08/19 裝訂：平裝
This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how
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Data Clustering ─ Algorithms and Applications
37.

Data Clustering ─ Algorithms and Applications

作者：Chandan K. Reddy (EDT); Charu C. Aggarwal (EDT)  出版社：Taylor & Francis  出版日：2013/09/03 裝訂：精裝
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods su
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Graph-Based Social Media Analysis
38.

Graph-Based Social Media Analysis

作者：Michael Alma Morley; Thomas McCarthy Garavan  出版社：Productivity Press  出版日：2016/01/12 裝訂：精裝
This book provides a comprehensive introduction to the use of graph analysis in the study of social media and digital media. It covers the following topics: graphs in social media, graph theory, algeb
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Data Mining With R—Learning by Case Studies
90折
39.

Data Mining With R—Learning by Case Studies

作者：Luis Torgo  出版社：Taylor & Francis  出版日：2010/11/09 裝訂：精裝
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practi
定價：3358 元， 優惠價：9 3022
無庫存，下單後進貨(到貨天數約30-45天)
Knowledge Guided Machine Learning：Accelerating Discovery using Scientific Knowledge and Data
40.

Knowledge Guided Machine Learning：Accelerating Discovery using Scientific Knowledge and Data

作者：Karpatne; Anuj; Kannan; Ramakrishnan; Kumar; Vipin  出版社：PBKTYFRL  出版日：2022/06/01 裝訂：精裝
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