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Expected Goals

Social Media Mining: An Introduction

Art of Feature Engineering: Essentials for Machine Learning

Text analysis in Python for social scientists: discovery and exploration

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Science of Science

Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers : 433

From Opinion Mining to Financial Argument Mining

Learning to Quantify : 47

Interpreting Discrete Choice Models

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

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Statistical data analytics: foundations for data mining, informatics, and knowledge discovery

Statistical data analytics: foundations for data mining, informatics, and knowledge discovery

Statistical data analytics: foundations for data mining, informatics, and knowledge discovery, solutions manual

Exploring Malicious Hacker Communities: Toward Proactive Cyber-Defense

Interpreting Discrete Choice Models

Modern Dimension Reduction

Data mining and business analytics with R

Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications : 7250

Data mining and business analytics with R

Outside insight: how to use data to understand the future and transform your business

Mining of Massive Datasets

Mining of massive datasets.

Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Twitter: A Digital Socioscope

Sentiment analysis: mining opinions, sentiments, and emotions

Data mining and predictive analytics

Social media mining: an introduction

Recommender Systems: An Introduction

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