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Expected Goals

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

Twitter: a digital socioscope

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

Recommender Systems: An Introduction

Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

From Opinion Mining to Financial Argument Mining

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

Social Media Mining: An Introduction

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-Driven Improvements in a Post-COVID World

Text analysis in Python for social scientists: discovery and exploration

Science of Science

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

Spectral Feature Selection for Data Mining (Open Access)

Data mining: concepts, models, methods, and algorithms

Foundations of fuzzy logic and Semantic Web languages

Data mining for business analytics: concepts, techniques, and applications with JMP Pro

Learning to Quantify : 47

Model-Based Clustering and Classification for Data Science: With Applications in R : 50

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

Metalearning: applications to automated machine learning and data mining

Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers

Introduction to Environmental Data Science

Adaptive Inventories: A Practical Guide for Applied Researchers

Genome-scale algorithm design: bioinformatics in the era of high-throughput sequencing

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