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[null,"1.","Record Nr.",null,"UNISALENTO991003773629707536"]
[null,null,"Autore",null,"Chantraine, Pierre"]
[null,null,"Titolo",null,"Morphologie historique du grec / par P. Chantraine"]
[null,null,"Pubbl/distr/stampa",null,"Paris : Klincksieck, 1947"]
[null,null,"Descrizione fisica",null,"xii, 442 p. ; 18 cm"]
[null,null,"Collana",null,"Nouvelle collection à l'usage des classes ; 34"]
[null,null,"Disciplina",null,"481"]
[null,null,"Soggetti",null,"Lingua greca - Grammatica storica"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910784880403321"]
[null,null,"Titolo",null,"Response surface methodology and related topics [[electronic resource] /] / editor, André I. Khuri"]
[null,null,"Pubbl/distr/stampa",null,"Hacenksack, N.J., : World Scientific, c2006"]
[null,null,"ISBN",null,"1-281-37898-4"]
[{"$nulls":4},"9786611378981"]
[{"$nulls":4},"981-277-473-4"]
[null,null,"Descrizione fisica",null,"1 online resource (472 p.)"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Response surfaces (Statistics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents               ; Preface              ; List of Contributors                           ; Chapter 1 Two-Level Factorial and Fractional Factorial Designs in Blocks of Size Two. Part 2                                                                                                   ; 1. Introduction                      ; 2. The Six Factor 64 Runs 26 Design                                          ; 3. Definitions and Notation                                  ; 4. Combination Design Selection Process"]
[{"$nulls":4},"5. Case k = 6 d = 2                          6. Case k = 6 d = 3                          ; 7. Case k = 6 d = 4                          ; 8. Case k = 6 d = 5                          ; 9. Case k = 6 d = 6                          ; 10. Sequential Designs for k = 7 Factors                                               ; 11. Sequential Designs for k = 8 Factors                                               ; References                 ; Chapter 2 Response Surface Experiments on Processes with High Variation"]
[{"$nulls":4},"1. Introduction                      2. Design Strategy                         ; 3. Choice of Size of Experiment                                      ; 4. Choice of Treatments                              ; 5. Unit Structures                         ; 6. Multi-Stratum Designs                               ; 7. Data Analysis                       ; 8. Final Comments                        ; References"]
[{"$nulls":4},"Chapter 3 Random Run Order Randomization and Inadvertent Split-Plots in Response Surface Experiments                                                                                                           1. Introduction                      ; 2. Why Statistical Tests from RRO Experiments are Misleading                                                                   ; 3. Examining the Split-Plotting Effect over All Randomizations"]
[{"$nulls":4},"4. The Diagnostic Power to Retrospectively Detect the Randomization Restriction                                                                                      5. The Expected Covariance Matrix for RRO Experiments                                                            "]
[{"$nulls":4},"; 6. G-Efficiencies and Cost When an RRO is Used                                                     ; 7. Remarks                 ; References                 ; Chapter 4 Statistical Inference for Response Surface Optima"]
[{"$nulls":4},"1. Introduction"]
[null,null,null,"Sommario/riassunto","This is the first edited volume on response surface methodology (RSM). It contains 17 chapters written by leading experts in the field and covers a wide variety of topics ranging from areas in classical RSM to more recent modeling approaches within the framework of RSM, including the use of generalized linear models. Topics covering particular aspects of robust parameter design, response surface optimization, mixture experiments, and a variety of new graphical approaches in RSM are also included. The main purpose of this volume is to provide an overview of the key ideas that have shaped RSM,"]
[null,"3.","Record Nr.",null,"UNINA9910483829803321"]
[null,null,"Titolo",null,"Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-57529-5"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXXII, 857 p. 252 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10235"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Data and Information Security"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction."]
[null,null,null,"Sommario/riassunto","This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held "]
[{"$nulls":4},"in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction."]