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Concept data analysis [[electronic resource] ] : theory and applications / / Claudio Carpineto, Giovanni Romano
Concept data analysis [[electronic resource] ] : theory and applications / / Claudio Carpineto, Giovanni Romano
Autore Carpineto Claudio
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (221 p.)
Disciplina 004/.01/51
Altri autori (Persone) RomanoGiovanni
Soggetto topico Computer science - Mathematics
Machine learning
Information retrieval
Soggetto genere / forma Electronic books.
ISBN 1-280-27454-9
9786610274543
0-470-01129-7
0-470-01128-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Concept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; 1 Theoretical Foundations; 1.1 Basic Notions of Orders and Lattices; 1.2 Context, Concept, and Concept Lattice; 1.3 Many-valued Contexts; 1.4 Bibliographic Notes; 2 Algorithms; 2.1 Constructing Concept Lattices; 2.1.1 Computational space complexity of concept lattices; 2.1.2 Construction of the set of concepts; 2.1.3 Construction of concept lattices; 2.1.4 Construction of partial concept lattices; 2.2 Incremental Lattice Update; 2.2.1 Incremental construction of concept lattices; 2.2.2 Updating the context
2.2.3 Summary of lattice construction2.3 Visualization; 2.3.1 Hierarchical folders; 2.3.2 Nested line diagrams; 2.3.3 Focus+context views; 2.4 Adding Knowledge to Concept Lattices; 2.4.1 Adding background knowledge to object description; 2.4.2 Pruning concepts with user constraints; 2.5 Bibliographic Notes; II Applications; 3 Information Retrieval; 3.1 Query Modification; 3.1.1 Navigating around the query concept; 3.1.2 Thesaurus-enhanced navigation and querying; 3.1.3 Automatic generation of index terms; 3.2 Document Ranking; 3.2.1 The vocabulary problem; 3.2.2 Concept lattice-based ranking
3.2.3 Scalability3.3 Bibliographic Notes; 4 Text Mining; 4.1 Mining the Content of the ACM Digital Library; 4.1.1 The ACM Digital Library; 4.1.2 Information retrieval and data view versus text mining; 4.1.3 Constructing the TOIS concept lattice; 4.1.4 Interacting with the TOIS concept lattice; 4.2 Mining Web Retrieval Results with CREDO; 4.2.1 Visualizing Web retrieval results; 4.2.2 Design and implementation of CREDO; 4.2.3 Example sessions; 4.3 Bibliographic Notes; 5 Rule Mining; 5.1 Implications; 5.1.1 Computational space complexity of implications
5.1.2 Generating implications from the concept lattice5.2 Functional Dependencies; 5.2.1 Functional dependencies as implications of transformed contexts; 5.2.2 Computational space complexity of the concept lattice of transformed contexts; 5.3 Association Rules; 5.3.1 Mining frequent concepts; 5.3.2 Generating confident rules from frequent concepts; 5.4 Classification Rules; 5.5 Bibliographic Notes; References; Index
Record Nr. UNINA-9910144257003321
Carpineto Claudio  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Concept data analysis : theory and applications / / Claudio Carpineto, Giovanni Romano
Concept data analysis : theory and applications / / Claudio Carpineto, Giovanni Romano
Autore Carpineto Claudio
Edizione [1st ed.]
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (221 p.)
Disciplina 004/.01/51
Altri autori (Persone) RomanoGiovanni
Soggetto topico Computer science - Mathematics
Machine learning
Information retrieval
ISBN 1-280-27454-9
9786610274543
0-470-01129-7
0-470-01128-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Concept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; 1 Theoretical Foundations; 1.1 Basic Notions of Orders and Lattices; 1.2 Context, Concept, and Concept Lattice; 1.3 Many-valued Contexts; 1.4 Bibliographic Notes; 2 Algorithms; 2.1 Constructing Concept Lattices; 2.1.1 Computational space complexity of concept lattices; 2.1.2 Construction of the set of concepts; 2.1.3 Construction of concept lattices; 2.1.4 Construction of partial concept lattices; 2.2 Incremental Lattice Update; 2.2.1 Incremental construction of concept lattices; 2.2.2 Updating the context
2.2.3 Summary of lattice construction2.3 Visualization; 2.3.1 Hierarchical folders; 2.3.2 Nested line diagrams; 2.3.3 Focus+context views; 2.4 Adding Knowledge to Concept Lattices; 2.4.1 Adding background knowledge to object description; 2.4.2 Pruning concepts with user constraints; 2.5 Bibliographic Notes; II Applications; 3 Information Retrieval; 3.1 Query Modification; 3.1.1 Navigating around the query concept; 3.1.2 Thesaurus-enhanced navigation and querying; 3.1.3 Automatic generation of index terms; 3.2 Document Ranking; 3.2.1 The vocabulary problem; 3.2.2 Concept lattice-based ranking
3.2.3 Scalability3.3 Bibliographic Notes; 4 Text Mining; 4.1 Mining the Content of the ACM Digital Library; 4.1.1 The ACM Digital Library; 4.1.2 Information retrieval and data view versus text mining; 4.1.3 Constructing the TOIS concept lattice; 4.1.4 Interacting with the TOIS concept lattice; 4.2 Mining Web Retrieval Results with CREDO; 4.2.1 Visualizing Web retrieval results; 4.2.2 Design and implementation of CREDO; 4.2.3 Example sessions; 4.3 Bibliographic Notes; 5 Rule Mining; 5.1 Implications; 5.1.1 Computational space complexity of implications
5.1.2 Generating implications from the concept lattice5.2 Functional Dependencies; 5.2.1 Functional dependencies as implications of transformed contexts; 5.2.2 Computational space complexity of the concept lattice of transformed contexts; 5.3 Association Rules; 5.3.1 Mining frequent concepts; 5.3.2 Generating confident rules from frequent concepts; 5.4 Classification Rules; 5.5 Bibliographic Notes; References; Index
Record Nr. UNINA-9910813257203321
Carpineto Claudio  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui