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Data Mining Techniques

Arun K.Pujari

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簡介

類別

Database Management

關於本書

語言：English
ISBN：9788173718533
發行日期：2021年8月4日
出版商：Universities Press (India) Pvt. Ltd.

檔案格式：EPUB2
檔案大小：3.06 MB
下載選項：EPUB2 (Adobe DRM)

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Data Mining Techniques

為什麼要和我們一起閱讀？

簡介

關於本書

書籍詳細資料

如何閱讀

延伸閱讀

Data Mining

Machine Learning with R

Data Mining: Concepts and Techniques

Learning scikit-learn: Machine Learning in Python

Introduction to Information Retrieval

Why Programs Fail

Data-Intensive Text Processing with MapReduce

Data Mining

Python Machine Learning By Example

Fundamentals of Stream Processing

The Text Mining Handbook

Mastering Text Mining with R

Handbook of Big Data Technologies

Machine Learning Algorithms

Web Services Foundations

Machine Learning for Developers

Advanced Machine Learning with Python

The Functional Approach to Programming

Database and Expert Systems Applications

Fundamentals of Predictive Text Mining

Deep Learning with Hadoop

Readings in Artificial Intelligence and Software Engineering

Systematic Program Design

Data-Intensive Computing

Fundamentals of Predictive Text Mining

Principles of Data Integration

Clustering and Information Retrieval

Mining the Web

Frequent Pattern Mining

Emergent Web Intelligence: Advanced Semantic Technologies

Emergent Web Intelligence: Advanced Information Retrieval

Integration of Reusable Systems

Software Specification Methods

Mastering Java Machine Learning

Transactions on Aspect-Oriented Software Development XII

Practical PostgreSQL

Atlassian Confluence 5 Essentials

Schema Matching and Mapping

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Practical Signcryption

Mastering Data analysis with R

Handbook of Constraint Programming

Trustworthy Global Computing

Apache Cassandra Essentials

Future Internet Testing

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Advances in Databases and Information Systems

Business Intelligence

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII

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Innovations in Computational Intelligence

Data Mining and Constraint Programming

Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities

Software Engineering and Methodology for Emerging Domains

Formal Aspects of Component Software

E-Commerce and Web Technologies

Recent Developments and New Directions in Soft Computing

Advances in Databases and Information Systems

Model and Data Engineering

Handbook of Data Intensive Computing

Hadoop Blueprints

Distributed Computing and Internet Technology

Database and Expert Systems Applications

Sports Data Mining

Model-Based Development

Computer Security -- ESORICS 2015

Open Source Intelligence Investigation

Mastering Machine Learning with Spark 2.x

System-Level Validation

Social Media Processing

Formal Aspects of Component Software