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1. |
Record Nr. |
UNINA9910461543703321 |
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Autore |
Nolfi Tricia |
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Titolo |
Assessing and improving student organizations [[electronic resource] ] : a guide for students / / Tricia Nolfi and Brent D. Ruben |
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Pubbl/distr/stampa |
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Sterling, Va., : Stylus Pub., 2010 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (66 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Students - Societies, etc |
Student activities |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; Contents; Acknowledgments; Personal and Professional Learning in Student Organizations; Challenges Facing Collegiate Student Organizations; Framework; Student Organization Profile; 1 Leadership; 2 Strategic Planning; 3 Constituent Focus; 4 Assessment and Communication; 5 Membership and Organizational Climate; 6 Programs, Activities, and Services; 7 Outcomes and Achievements; Suggested Readings; Glossary; A; B; C; E; F; G; I; K; L; M; O; P; R; S; T; V |
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Sommario/riassunto |
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Provides students with a structure for analyzing the workings of their organization, generating insights to determine how effectively the organization is functioning, identify strengths and weaknesses, and devise priorities and plans for future improvement. |
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2. |
Record Nr. |
UNISA996636772303316 |
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Titolo |
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part VI / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (398 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15392 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Application software |
Computer systems |
Education - Data processing |
Computer vision |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Computer and Information Systems Applications |
Computer System Implementation |
Computers and Education |
Computer Vision |
Mineria de dades |
Congressos |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South |
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Wales, Australia, during December 3–5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I : Applications; Data mining. Part II : Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III : Graph mining; Spatial data mining. Part IV : Health informatics. Part V : Multi-modal; Natural language processing. Part VI : Recommendation systems; Security and privacy issues. . |
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