"Outlier Analysis" von Charu C. Aggarwal ist ein umfassendes Werk, das sich mit der Identifikation und Analyse von Ausreißern in Daten befasst. Das Buch bietet eine detaillierte Einführung in die Konzepte und Methoden zur Erkennung von...

"Probability and Statistics for Machine Learning: A Textbook" von Charu C. Aggarwal bietet eine umfassende Einführung in die grundlegenden Konzepte der Wahrscheinlichkeit und Statistik, die für das Verständnis und die Anwendung von...

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so...

"Recommender Systems: The Textbook" von Charu C. Aggarwal bietet eine umfassende Einführung in die Theorie und Praxis von Empfehlungssystemen, die heute in vielen digitalen Plattformen weit verbreitet sind. Das Buch behandelt...

Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework drawn from these intersecting topics....

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional...

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more...

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore...

"Neural Networks and Deep Learning: A Textbook" von Charu C. Aggarwal bietet eine umfassende Einführung in die Konzepte und Techniken des maschinellen Lernens mit einem speziellen Fokus auf neuronale Netzwerke und Deep Learning. Das Buch...

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and...

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important...

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured...