Fuzzy information retrieval / / Donald H. Kraft, Erin Colvin |
Autore | Kraft Donald H. |
Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
Descrizione fisica | 1 online resource (83 pages) : illustrations |
Disciplina | 511.322 |
Collana | Synthesis lectures on information concepts, retrieval, and services |
Soggetto topico |
Fuzzy systems
Information retrieval - Automation |
Soggetto non controllato |
information retrieval system (IRS)
recall precision relevance retrieval status value (RSV) ranking function best match models (BM1) relevance feedback mean average precision (MAP) TF-IDF vector space model probabilistic model Boolean model |
ISBN | 1-62705-956-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
1. Introduction to information retrieval -- 1.1 Defining information retrieval -- 1.1.1 Retrieval metric -- 1.2 A bit of IR history -- 1.3 The key notion of relevance -- 1.4 Some interesting applications of information retrieval -- 1.5 Where the fuzz is --
2. Modeling -- 2.1 Boolean model -- 2.1.1 Deficiencies with Boolean logic -- 2.2 Vector space model -- 2.3 Probability model -- 2.3.1 Language models -- 2.3.2 Alternative probabilistic best match models -- 2.4 Modern concepts of IR -- 2.5 Fuzzy logic and sets -- 2.6 Membership functions -- 2.6.1 Intuition -- 2.6.2 Inference -- 2.6.3 Rank ordering -- 2.6.4 Neural networks -- 2.6.5 Genetic algorithms -- 2.6.6 Inductive reasoning -- 2.6.7 Aggregation -- 2.7 Extended boolean in IR -- 2.8 Fuzzy evaluation metrics -- 2.8.1 Map -- 2.9 Discounted cumulative gain -- 2.10 Summary -- 3. Source of weights -- 3.1 Indexing -- 3.1.1 TF-IDF -- 3.2 Variants -- 3.2.1 Document length normalization -- 3.3 Querying -- 3.4 Summary -- 4. Relevance feedback and query expansion -- 4.1 Defining relevance feedback -- 4.2 Pseudo-relevant feedback -- 4.3 Relevance feedback with the vector space model -- 4.4 Relevance feedback with the probability model -- 4.5 Relevance feedback with the boolean and fuzzy boolean models -- 4.5.1 Genetic algorithms (programming) for Boolean relevance feedback -- 4.6 Query expansion -- 4.6.1 Adding or changing terms -- 4.7 Fuzzy and rough sets for data mining of a controlled vocabulary -- 4.7.1 Fuzzy set notation for rough sets -- 4.8 Extensions of the rough set approach to retrieval -- 4.8.1 Rough fuzzy sets -- 4.8.2 Fuzzy rough sets -- 4.8.3 Generalized fuzzy and rough sets -- 4.8.4 Nonequivalence relationships -- 4.8.5 Combining several relationships simultaneously -- 5. Clustering for retrieval -- 5.1 Introduction -- 5.2 Applications -- 5.3 Clustering algorithms -- 5.4 Similarity measures -- 5.5 Fuzzy clustering -- 5.6 The fuzzy C-means algorithm -- 5.7 A testing example -- 5.7.1 Fuzzy rule discovery -- 6. Uses of information retrieval today -- Bibliography -- Author biographies. |
Record Nr. | UNINA-9910163287003321 |
Kraft Donald H. | ||
[San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Probabilistic Methods in Telecommunications / Benedikt Jahnel, Wolfgang König |
Autore | Jahnel, Benedikt |
Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2020 |
Descrizione fisica | xi, 200 p. : ill. ; 24 cm |
Altri autori (Persone) | Konig, Wolfgang |
Soggetto topico |
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60K37 - Processes in random environments [MSC 2020] 60Dxx - Geometric probability and stochastic geometry [MSC 2020] 60F10 - Large deviations [MSC 2020] 60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020] |
Soggetto non controllato |
Boolean model
Contact process Large deviations Poisson and cox point processes Signal-to-interference ratio Stochastic Geometry |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249656 |
Jahnel, Benedikt | ||
Cham, : Birkhäuser, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Probabilistic Methods in Telecommunications / Benedikt Jahnel, Wolfgang König |
Autore | Jahnel, Benedikt |
Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2020 |
Descrizione fisica | xi, 200 p. : ill. ; 24 cm |
Altri autori (Persone) | Konig, Wolfgang |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Dxx - Geometric probability and stochastic geometry [MSC 2020] 60F10 - Large deviations [MSC 2020] 60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020] 60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020] 60K37 - Processes in random environments [MSC 2020] |
Soggetto non controllato |
Boolean model
Contact process Large deviations Poisson and cox point processes Signal-to-interference ratio Stochastic Geometry |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249656 |
Jahnel, Benedikt | ||
Cham, : Birkhäuser, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Recent Developments in Cancer Systems Biology |
Autore | Sinha Raghu |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (272 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
Sestrin2
lung cancer knockdown cancer progression bioinformatics patient survival lung adenocarcinoma circulating miR-1246 glycosaminoglycan binding prognosis PI3K-Akt signaling pathways TargetScan UBE2C cancer systems biology experimental model systems next-generation sequencing single-cell sequencing patient-derived xenografts patient-derived organoids triple-negative breast cancer personalized medicine computational methods drug repurposing clinical trials cancer stem cells ETS Elk-1 stem cell microarray brain-tumor-initiating cell (BTIC) pancreatic cancer systems biology omics biomarker genomics transcriptomics proteomics metabolomics glycomics metagenomics Ets PEA3 Ets-1 glioma optical genome mapping solid tumors cancer genomics breast ovarian cancer TCGA non-small-cell lung cancer lung adenocarcinoma (LUAD) lung squamous cell carcinoma (LUSC) differential expression SNV CNV risk group signature survival renal cancers protein interactome diagnostic biomarker prognostic biomarker virtual screening docking acute myeloid leukemia Boolean model drug resistance network |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557768503321 |
Sinha Raghu | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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The method of densities for non-isotropic Boolean models |
Autore | Hörrmann Julia |
Pubbl/distr/stampa | KIT Scientific Publishing, 2015 |
Descrizione fisica | 1 electronic resource (122 p. p.) |
Soggetto non controllato |
Stochastic geometry
Boolean model Intensitätsschätzung method of densities anisotropy Anisotropie intensity estimation Boolesches Modell Stochastische Geometrie |
ISBN | 1000045101 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910347045503321 |
Hörrmann Julia | ||
KIT Scientific Publishing, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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