TY - BOOK ID - 65259354 TI - Complex Pattern Mining : New Challenges, Methods and Applications AU - Appice, Annalisa. AU - Ceci, Michelangelo. AU - Loglisci, Corrado. AU - Manco, Giuseppe. AU - Masciari, Elio. AU - Ras, Zbigniew W. PY - 2020 SN - 3030366170 3030366162 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computational intelligence. KW - Artificial intelligence. KW - Data mining. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Pattern recognition. KW - Computational Intelligence. KW - Artificial Intelligence. KW - Data Mining and Knowledge Discovery. KW - Pattern Recognition. KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - Pattern recognition systems. KW - Automated Pattern Recognition. KW - Pattern classification systems KW - Pattern recognition computers KW - Pattern perception KW - Computer vision UR - https://www.unicat.be/uniCat?func=search&query=sysid:65259354 AB - This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry. ER -