I problemi dell'illuminismo e la loro attualità nella cultura di lingua italiana e nella cultura di lingua tedesca nel quadro dell'unità culturale europea : atti del 6. convegno internazionale di studi italo-tedeschi : Merano, 21-26 aprile 1965 / [edizioni curata da] Istituto culturale italo-tedesco in Alto Adige, Merano = Die probleme der aufklarung und ihre aktualitat in der deutschen und italienischen kultur im rahmen der europaischen kultureinheit : akten der 6. internationalen tagung deutsch-italienischer studien : Meran, 21-26 april 1965 / [herausgegeben vom] Deutsch-Italienisches kulturinstitut in Sudtirol, Meran

• Record Nr.: UNISALENTO991004060399707536
• Autore: Convegno internazionale di studi italo-tedeschi <6. ; 1965 ; Merano>
• Pubbl/distr/stampa: [S.l. : s.n.], stampa 1969 (Bolzano : La bodoniana)
• Descrizione fisica: XXVII, 452 p. ; 24 cm.
• Soggetti: Cultura italiana e cultura tedesca - Congressi; Europa - Cultura - Congressi; Illuminismo - Congressi
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Data analysis and pattern recognition in multiple databases / / Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz

• Record Nr.: UNINA9910299480003321
• Autore: Adhikari Animesh
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , 2014
• ISBN: 3-319-03410-3
• Edizione: [1st ed. 2014.]
• Descrizione fisica: 1 online resource (xv, 238 pages) : illustrations
• Collana: Intelligent Systems Reference Library, , 1868-4394 ; ; 61
• Disciplina: 006.3
• Soggetti: Data mining; Engineering; Optical pattern recognition
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "ISSN: 1868-4394."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: From the Contents: Synthesizing Different Extreme Association Rules in Multiple Data Sources -- Clustering items in time-stamped databases induced by stability -- Mining global patterns in multiple large databases -- Clustering Local Frequency Items in Multiple Data Sources -- Mining Patterns of Select Items in Different Data Sources.
• Sommario/riassunto: Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyse them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery, and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as ; exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.