1.

Record Nr.

UNINA990007490100403321

Autore

Colosi, Giuseppe

Titolo

Fauna italiana / Giuseppe Colusi

Pubbl/distr/stampa

Torino : UTET, 1933

Descrizione fisica

XI, 642 p. : ill. ; 26 cm

Disciplina

591

Locazione

DAGEN

ILFGE

DMVCC

Collocazione

61 XI B7/5

B-02-041

X1

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNISALENTO991003565829707536

Autore

Calemi, Francesco F.

Titolo

Cattive argomentazioni: come riconoscerle / Francesco F. Calemi, Michele Paolini Paoletti

ISBN

9788843073177

Descrizione fisica

128 p. ; 20 cm

Collana

Le bussole ; 493

bussole (Le) ; 493

Altri autori (Persone)

Paolini Paoletti, Micheleauthor

Disciplina

168

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Bibliografia: p.124-125. Indice



3.

Record Nr.

UNINA9910741166703321

Titolo

Big Data in Complex Systems : Challenges and Opportunities / / edited by Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

9783319110561

331911056X

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (502 p.)

Collana

Studies in Big Data, , 2197-6511 ; ; 9

Disciplina

005.74

Soggetti

Computational intelligence

Artificial intelligence

Computational Intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead -- Big Data Movement: a Challenge in Data Processing -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Stream Clustering Algorithms: A Primer -- Cross Language Duplicate Record Detection in Big Data -- A Novel Hybridized Rough Set And Improved Harmony Search Based Feature Selection For Protein Sequence Classification -- Autonomic Discovery of News Evolvement in Twitter -- Hybrid Tolerance Rough Set based Intelligent Approaches for Social Tagging Systems -- Exploitation Of Healthcare Databases In Anesthesiology And Surgical Care For Comparing Comorbidity Indexes In Cholecystectomized Patients -- Sickness Absence And Record Linkage Using Primary Healthcare, Hospital And Occupational Databases -- Classification of ECG Cardiac Arrhythmias using Bijective Soft Set -- Semantic Geographic Space: from Big Data to Ecosystems of Data  -- DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer -- Data Quality, Analytics, and Privacy in Big Data -- Search, analysis and visual comparison of massive and heterogeneous data: Application in the



medical field  -- Modified Soft Rough set based ECG signal Classification for Cardiac arrhythmias -- Towards a new architecture for the description and manipulation of large distributed data.

Sommario/riassunto

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are otherĀ  foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduateĀ  students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.