Advances in Knowledge Discovery in Databases
Springer International Publishing (Verlag)
978-3-319-36606-7 (ISBN)
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
Introduction.- Synthesizing conditional patterns in a database.- Synthesizing arbitrary Boolean expressions induced by frequent itemsets.- Measuring association among items in a database.- Mining association rules induced by item and quantity purchased.- Mining patterns different related databases.- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources.- Clustering items in time-stamped databases.- Synthesizing some extreme association rules from multiple databases.- Clustering local frequency items in multiple data sources.- Mining patterns of select items in different data sources.- Mining calendar-based periodic patterns in time-stamped data.- Measuring influence of an item in time-stamped databases.- Clustering multiple databases induced by local patterns.- Enhancing quality of patterns in multiple related databases.- Concluding remarks.
Erscheinungsdatum | 05.03.2022 |
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Reihe/Serie | Intelligent Systems Reference Library |
Zusatzinfo | XV, 370 p. 136 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 586 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Data Mining • data mining and knowledge discovery • Engineering • Engineering: general • Expert systems / knowledge-based systems • Intelligent Systems • KDD • Knowledge Discovery in Databases • Market Based Database • Multiple Related Database • Robotics • Time-stamped Database |
ISBN-10 | 3-319-36606-8 / 3319366068 |
ISBN-13 | 978-3-319-36606-7 / 9783319366067 |
Zustand | Neuware |
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