TY  - GEN
N2  - 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.
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.
T1  - Complex pattern mining :new challenges, methods and applications /
AU  - Appice, Annalisa.
AU  - Ceci, Michelangelo.
AU  - Loglisci, Corrado.
AU  - Manco, Giuseppe.
AU  - Masciari, Elio.
AU  - Raś, Zbigniew.
VL  - v. 880
CN  - QA76.9.D343
N1  - Includes index.
ID  - 924965
KW  - Data mining.
SN  - 9783030366179
SN  - 3030366170
TI  - Complex pattern mining :new challenges, methods and applications /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-36617-9
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-36617-9
ER  -