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[null,"1.","Record Nr.",null,"UNISA996393856003316"]
[null,null,"Autore",null,"Sprat Thomas <1635-1713.>"]
[null,null,"Titolo",null,"A sermon preached before the honourable House of Commons at St. Margarets Westminster, January 30th 1677/8 [[electronic resource] /] / by Thomas Sprat ."]
[null,null,"Pubbl/distr/stampa",null,"London, : Printed by M.C. for Henry Brome ..., 1678"]
[null,null,"Edizione",null,"[The second edition.]"]
[null,null,"Descrizione fisica",null,"[2], 38 p"]
[null,null,"Soggetti",null,"Sermons, English - 17th century"]
[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","Reproduction of original in Huntington Library."]
[null,null,null,"Sommario/riassunto","eebo-0113"]
[null,"2.","Record Nr.",null,"UNINA9910299226203321"]
[null,null,"Autore",null,"Burattin Andrea"]
[null,null,"Titolo",null,"Process Mining Techniques in Business Environments : Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining / / by Andrea Burattin"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-17482-7"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 220 p. 101 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 207"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Information technology - Management"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Business Process Management"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"Automated Pattern Recognition"]
[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","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"1 Introduction -- Part I: State of the Art: BPM, Data Mining and Process Mining -- 2 Introduction to Business Processes, BPM, and BPM Systems -- 3 Data Generated by Information Systems (and How to Get It) -- 4 Data Mining for Information System Data -- 5 Process Mining -- 6 Quality Criteria in Process Mining -- 7 Event Streams -- Part II: Obstacles to Process Mining in Practice -- 8 Obstacles to Applying Process Mining in Practice -- 9 Long-term View Scenario -- Part III: Process Mining as an Emerging Technology -- 10 Data Preparation -- 11 Heuristics Miner for Time Interval -- 12 Automatic Configuration of Mining Algorithm -- 13 User-Guided Discovery of Process Models -- 14 Extensions of Business Processes with Organizational Roles -- 15 Results Interpretation and Evaluation -- 16 Hands-On: Obtaining Test Data -- Part IV: A New Challenge in Process Mining -- 17 Process Mining for Stream Data Sources -- Part V: Conclusions and Future Work -- 18 Conclusions and Future Work."]
[null,null,null,"Sommario/riassunto","After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a "]
[{"$nulls":4},"characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic \"batch process mining,\" and second to more recent \"online process mining.\" The book encompasses a revised version of the author's PhD thesis, which won the \"Best Process Mining Dissertation Award\" in 2014, awarded by the IEEE Task Force on Process Mining."]