1.

Record Nr.

UNISA990001454940203316

Autore

Associazione italiana biblioteche

Titolo

AIB 99 : atti del  XLV Congresso nazionale dell'Associazione italiana biblioteche, Roma, 16-19 maggio 1999 / a cura di Enzo Frustaci e Mauro Guerrini

Pubbl/distr/stampa

Roma, : Associazione italiana biblioteche, 2001

ISBN

88-7812-070-7

Descrizione fisica

318 p. ; 24 cm

Disciplina

020

Soggetti

Biblioteconomia - Congressi - 1999

Collocazione

I.2.B. 243

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910728396003321

Titolo

Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part I / / edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

9783031333743

3031333748

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (563 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13935

Disciplina

006.3

006.312

Soggetti

Artificial intelligence

Algorithms

Education - Data processing

Computer science - Mathematics

Computer vision

Computer engineering

Computer networks

Artificial Intelligence

Design and Analysis of Algorithms

Computers and Education

Mathematics of Computing

Computer Vision

Computer Engineering and Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were



carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.