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[null,"1.","Record Nr.",null,"UNISALENTO991000970009707536"]
[null,null,"Autore",null,"Galvani, Luigi"]
[null,null,"Titolo",null,"Galvani : opere scelte / a cura di G. Barbensi"]
[null,null,"Pubbl/distr/stampa",null,"Torino : UTET, 1967"]
[null,null,"Descrizione fisica",null,"526 p. : ill. ; 24 cm."]
[null,null,"Collana",null,"Classici della scienza ; 7"]
[null,null,"Classificazione",null,"5(081)"]
[{"$nulls":4},"5(091)"]
[{"$nulls":4},"5(092)"]
[{"$nulls":4},"53(081)"]
[{"$nulls":4},"500"]
[null,null,"Soggetti",null,"Galvani, Luigi"]
[{"$nulls":4},"Physicists"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910483593403321"]
[null,null,"Titolo",null,"Advanced Data Mining and Applications : First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings / / edited by Xue Li, Shuliang Wang, Zhao Yang Dong"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005"]
[null,null,"ISBN",null,"3-540-31877-1"]
[{"$nulls":4},"3-540-27894-X"]
[null,null,"Edizione",null,"[1st ed. 2005.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIX, 835 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 3584"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Information technology - Management"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Medical informatics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Health Informatics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Keynote Papers -- Invited Papers -- Association Rules -- Classification -- Clustering -- Novel Algorithms -- Text Mining -- Multimedia Mining -- Sequential Data Mining and Time Series Mining -- Web Mining -- Biomedical Mining -- Advanced Applications -- Security and Privacy Issues -- Spatial Data Mining -- Streaming Data Mining."]
[null,null,null,"Sommario/riassunto","With the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help "]
[{"$nulls":4},"peoplemakeinformed,sensible, andbetter decisions. At present, growing attention has been paid to the study, development and - plication of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new ?elds of data mining, e.g., spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The1stInternationalConferenceonAdvancedDataMiningandApplications (ADMA 2005) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di'erent applied disciplines. The conference attracted 539 online submissions and 63 mailing submissions from 25 di'erent countriesandareas.Allfullpaperswerepeer reviewedbyatleastthreemembers of the Program Committee composed of international experts in data mining ?elds. A total number of 100 papers were accepted for the conference. Amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%."]