1.

Record Nr.

UNINA9910780979403321

Autore

Andrew Rod

Titolo

Wade Hampton [[electronic resource] ] : Confederate warrior to southern redeemer / / Rod Andrew, Jr

Pubbl/distr/stampa

Chapel Hill, : University of North Carolina Press, c2008

ISBN

1-4696-0474-4

0-8078-8900-8

Descrizione fisica

1 online resource (635 p.)

Collana

Civil War America

Disciplina

973.7/42

Soggetti

Generals - Confederate States of America

Governors - South Carolina

Legislators - United States

Reconstruction (U.S. history, 1865-1877)

United States History Civil War, 1861-1865 Cavalry operations

South Carolina Politics and government 1865-1950

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 (p. 577-599) and index.

Nota di contenuto

Contents; Preface; Acknowledgments; PART I. PATERNALISM; PART II. CHIVALRY; PART III. VINDICATION; Epilogue; Appendix: The Fable of Hampton, ''Major S,'' and a Union Private; Notes; Bibliography; Index

Sommario/riassunto

Few Southern elites gave more to the Confederate cause or suffered more in its defeat than General Wade Hampton III of South Carolina. One of the South's most illustrious military leaders, Hampton was for a time the commander of all Lee's cavalry and at the end of the war was the highest-ranking Confederate cavalry officer. Yet for all Hampton's military victories, he also suffered devastating losses. He lost a beloved son and a brother, his own home as well as his grandfather's ancestral mansion, and his vast personal fortune. He failed to deter Sherman's legions from capturing his hometown o



2.

Record Nr.

UNISA996465702503316

Titolo

Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005

ISBN

3-540-31935-2

3-540-26076-5

Edizione

[1st ed. 2005.]

Descrizione fisica

1 online resource (XXI, 864 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 3518

Disciplina

006.3

Soggetti

Artificial intelligence

Database management

Information storage and retrieval

Mathematical statistics

Multimedia information systems

Application software

Artificial Intelligence

Database Management

Information Storage and Retrieval

Probability and Statistics in Computer Science

Multimedia Information Systems

Computer Appl. in Administrative Data Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Keynote Speech and Invited Talks -- Theoretic Foundations -- Association Rules -- Biomedical Domains -- Classification and Ranking -- Clustering -- Dynamic Data Mining -- Graphic Model Discovery -- High Dimensional Data -- Integration of Data Warehousing -- Knowledge Management -- Machine Learning Methods -- Novel Algorithms -- Spatial Data -- Temporal Data -- Text and Web Data Mining.



Sommario/riassunto

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causality induction, and knowledge-based systems. This year’s conference (PAKDD 2005) was the ninth of the PAKDD series, and carried the tradition in providing high-quality technical programs to facilitate research in knowledge discovery and data mining. It was held in Hanoi, Vietnam at the Melia Hotel, 18–20 May 2005. We are pleased to provide some statistics about PAKDD 2005. This year we received 327 submissions (a 37% increase over PAKDD 2004), which is the highest number of submissions since the first PAKDD in 1997) from 28 countries/regions: Australia (33), Austria (1), Belgium (2), Canada (11), China (91), Switzerland (2), France (9), Finland (1), Germany (5), Hong Kong (11), Indonesia (1), India (2), Italy (2), Japan (21), Korea (51), Malaysia (1), Macau (1), New Zealand (3), Poland (4), Pakistan (1), Portugal (3), Singapore (12), Taiwan (19), Thailand (7), Tunisia (2), UK (5), USA (31), and Vietnam (9). The submitted papers went through a rigorous reviewing process. Each submission was reviewed by at least two reviewers, and most of them by three or four reviewers.