Big Data Analytics and Knowledge Discovery

This collection of papers showcases advances in big data analytics and knowledge discovery, reflecting research presented at DaWaK 2016.

This book presents a comprehensive collection of papers focused on significant advancements in the realm of big data analytics. The papers are organized into topical sections that cover essential areas such as Mining Big Data, Applications of Big Data Mining, and Big Data Indexing and Searching. Each section delves into the latest research findings and methodologies that enhance our understanding and capabilities in handling large datasets.

In addition to foundational topics, the book also addresses critical aspects of Big Data Learning and Security, Graph Databases, and Data Warehousing. These sections provide insights into how organizations can effectively utilize big data while ensuring data integrity and security. The contributions in Big Data Analytics and Knowledge Discovery reflect the evolving landscape of data science and its application across various industries.

The volume constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, which took place in Porto, Portugal, in September 2016. Featuring 25 revised full papers that were meticulously selected from a total of 73 submissions, this book serves as a valuable resource for researchers and practitioners alike. The diverse topics covered in Big Data Analytics and Knowledge Discovery highlight the ongoing innovation and challenges in the field of data science.