golfarelli data mining

However, the huge amount of data made available by these technologies calls for sophisticated and automated analysis techniques. Matteo Golfarelli; Stefano Rizzi, A Model-Driven Approach to Automate Data Visualization in Big Data Analytics, «INFORMATION VISUALIZATION», 2020, 19, pp. Il secondo appello deve essere sostenuto almeno 14gg dopo il primo tentativo. In t... Delivering accurate estimates of query costs in web services is important in different contexts, e.g., to measure their Quality of Service. To propose suitable visualizations for data it relies on a model of data (data type and importance of each variable in the dataset, Ricercatore in area Data Warehousing, Business Intelligence, Data Mining. In t... Multidimensional databases are the core of business intelligence systems. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. DISI - University of Bologna, Via Sacchi, 3, 47521 Cesena, Italy, Davide Lombardi. Agile methods have been increasingly adopted to make data warehouse design faster and nimbler. Avvicinarsi alla vetta. To enable companies to take benefit of these techniques despite the lack of in-house technical skills, the H2020 TOREADOR Project adopts a model-driven architecture for streamlining analysis processes,... Pivot tables are one of the most popular tools for data visualization in both business and research applications. Matteo Golfarelli is currently an Associate Professor with the University of Bologna. Matteo Golfarelli, Computer Science and Information Technology University of Bologna, I was born in Forlì on October 18, 1970. In this paper we propose an approach to schema versioning in DWs,... Today, as DWing reached a high level of efficiency, new opportunities in exploiting information coming from the operational databases are requested by users. Gini index is the most commonly used measure of inequality. In the classical approach to materialization, each view includes all and only the measures of the cube it aggregates. 6 febbraio 2018. Conceptual design and requirement analysis are two of the key steps within the data warehouse design process. Data Warehouse Design: Modern Principles and Methodologies - Ebook written by Matteo Golfarelli, Stefano Rizzi. In order to be able to evaluate beforehand the impact of a strategical or tactical move, decision makers need reliable previsional systems. In traditional OLAP systems, the ETL process loads all available data in the data warehouse before users start querying them. DEXA Workshops 2005: 590-594: 2004; 27: EE: Matteo Golfarelli, Stefano Rizzi, Iuris Cella: Beyond data warehousing: what's next in business intelligence? Matteo Golfarelli is currently an Associate Professor with the University of Bologna. In this demonstration we present Lily, a geo-enhanced library that relies on a spatial data warehouse to add real location intelligence capabilities to existing... Social BI (SBI) is the emerging discipline that aims at combining corporate data with textual user-generated content (UGC) to let decision-makers analyze their business based on the trends perceived from the environment. Questo corso vuole fornire i fondamenti della disciplina, focalizzando lo studio sulle più importanti tecniche di Data Mining attualmente impiegate (estrazione automatica di pattern frequenti, associazioni, sequenze e anomalie, modelli predittivi, ecc.). The data vault model natively supports data and schema evolution, so it is often adopted to create operational data stores. Rappresentazione personalizzata dell'informazione nel Web Semantico. To propose suitable visualizations for data it relies on a model of data (data type and importance of each variable in the dataset, • Kabacoff R. I., R in action – Data analysis and graphics with R, Manning (2015) • Gareth J., Witten D., Hastie T., Tibshirani R., An Introduction to statistical learning with application in R, springer (2013) • Zhao Y., R and data mining Example and case studies, Academic Press (2012) All content in this area was uploaded by Matteo Golfarelli. by the birth of open source solutions: first as single BI tools, and later as complete BI platforms. In this paper we propose the idea of profile as an instrument for summarizing the workload features in order to help the designer to make the right choices. ... improving the data-to-visualization mapping in data mining by means of an interactive genetic algorithm. enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Since the decisional process typically requires an analysis of Shrink is an OLAM (On-Line Analytical Mining) operator based on hierarchical clustering, and it has been previously proposed in mono-dimensional form to balance precision with size in the visualization of cubes via pivot tables during OLAP analyses. HERA Group - Via Grigioni 19, 47122 Forli, Italy, Franco Sami. In this paper we investigate the benefits of materializing views in vertical fragments,... During the last ten years the approach to business management has deeply changed, and companies have understood the importance of enforcing achievement of the goals defined by their strategy through metrics-driven management. Information Visualization 2019 19: 1, 24-47 Download Citation. Durante l'esame ogni studente deve essere inquadrato, guardare verso la telecamera e, possibilmente, essere solo nella stanza. matteo golfarelli, matteo golfarelli sistemi informativi, matteo golfarelli data mining. (Libro di testo modulo Text Mining) Ian H. Witten and Eibe Frank. Numerical dependencies (NDs) are a type of database constraints in which one limits the number of distinct Y -values that can appear together with any X-value, where both X and Y are sets of attributes. Database and data mining group, Politecnico di Torino Elena Baralis Politecnico di Torino DataBase and Data Mining Group of Politecnico di Torino D B MG Aggregate operators From Golfarelli, Rizzi,”Data warehouse, teoria e pratica della progettazione”, McGraw Hill 2006 year 1999 2000 quart. An Open Source BI platform 17 33 In this paper, we present the architecture and the logical foundations for the manage- ment of the produced knowledge artifacts, which we call patterns. DISI - University of Bologna, Via Sacchi, 3, 47521 Cesena, Italy, Davide Lombardi. However, building a reliable cost model is difficult as (i) a web service is a black box often hiding a complex computation, (ii) a call to the same service can yield completely different costs by simply changi... Sensor data is becoming far more available thanks to the growth in both sensor systems and Internet of Things devices. The discipline of data science is steering analysts away from traditional data warehousing and towards a more flexible and lightweight approach to data analysis. Since the decisional process typically requires an analysis of Traditional business intelligence systems do not provide support to this end. dismiss all constraints. AbeBooks.com: Data Warehouse Design: Modern Principles and Methodologies (9780071610391) by Golfarelli, Matteo; Rizzi, Stefano and a great selection of similar New, Used and Collectible Books available now at great prices. In this paper we propose an original template-matching algorithm for multi-feature surface clustering in the biochemical context. provides a full spectrum of BI capabilities within a unified system that reduces the overh... Multidimensional databases play a relevant role in statistical and scientific applications, as well as in business intelligence Con il termine Data Mining si intende un insieme di tecniche e strumenti usati per esplorare grandi database, con lo scopo di individuare/estrarre informazioni/conoscenze significative, in modo da renderle disponibili ai processi decisionali. Matteo Golfarelli is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and … The ability of the... Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data mining in order to reduce the complexity of data management. In this paper... Information flooding may occur during an OLAP session when the user drills down her cube up to a very fine-grained level, because the huge number of facts returned makes it very hard to analyze them using a pivot table. Simple clustering techniques allow the recognition of personal gazetteers, i.e., the set of main points of interest (also called stay points) of each user, together with the list of time instants of each visit. Il settore sta avendo grande sviluppo a causa della crescita del valore strategico dell'informazione, della crescente concorrenza e dell'accumulo di sempre più grandi volumi di dati all'interno di basi di dati strutturate e non strutturate. The goal of personalization is to deliver information that is relevant to an individual or a group of individuals in the most appropriate format and layout. Data Warehouse. competenze teorico-pratiche necessarie a operare autonomamente in questo settore. ... International Journal of Data Warehousing and Mining, X(X), X-X, Oct-Dec 2007 11. His researches covered most of the design issues related to data warehouse systems. What-if analysis fills this gap by enabling users to simulate... Data warehousing involves complex processes that transform source data through several stages to deliver suitable information Numerical dependencies (NDs) are database constraints that limit the number of distinct Y-values that can appear together with any X-value, where both X and Y are sets of attributes in a relation schema. • Kabacoff R. I., R in action – Data analysis and graphics with R, Manning (2015) • Gareth J., Witten D., Hastie T., Tibshirani R., An Introduction to statistical learning with application in R, springer (2013) • Zhao Y., R and data mining Example and case studies, Academic Press (2012) Matteo Golfarelli, Computer Science and Information Technology University of Bologna, I was born in Forlì on October 18, 1970. Sorry, you need to be a researcher to join ResearchGate. Data Warehouse. Data Warehouse Design: Modern Principles and Methodologies eBook: Golfarelli, Matteo, Rizzi, Stefano: Amazon.ca: Kindle Store Lorenzo Baldacci, Matteo Golfarelli: Mining Complex Patterns from Protein Surfaces. Lorenzo Baldacci, Matteo Golfarelli: Mining Complex Patterns from Protein Surfaces. In this work we focus on multi-level and multi-dimensional data, which provide a rich description of subjects through multiple features each at different levels of detail. JSON. A key role in the analysis of textual UGC is played by topics, meant as specific concepts of interest within a subject area. Si prega di utilizzare l'email istituzionale. some given hypotheses. The synergy of analytical frameworks and augmented reality opens the door to a new wave of situated analytics, in which users within a physical environment are provided with immersive analyses of local contextual data. Recent studies produced evidence of a strict correlation between the surface characteristics of proteins and the w... As several mature implementations of data warehousing systems are fully operational, a crucial role in preserving their up-to-dateness Objective: In this paper we propose a comprehensive approach to testing data warehouse systems. Nell'ambito del corso saranno svolte anche esercitazioni sul sistema per il Data Mining Weka al fine di fornire allo studente quelle I got my degree in Computer Science at the University of Bologna in February 1995 and then I received m zoomed in on ?? export refined list as. In document-oriented databases, schema is a soft concept and the documents in a collection can be stored using different local schemata. Also referred as Gini ratio or Gini coefficient. Programma Materiale didattico The execution cost is computed starting from a physical plan produced by Spark. DEXA Workshops 2005: 590-594: 2004; 27: EE: Matteo Golfarelli, Stefano Rizzi, Iuris Cella: Beyond data warehousing: what's next in business intelligence? The data vault model natively supports data and schema evolution, so it is often adopted to create operational data stores. Matteo Golfarelli is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and data mining. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. Golfarelli M., Rizzi S. (2020). Matteo Golfarelli. Though data warehouses enable analysis of past data, they are not capable of giving anticipations of future trends. A partire dall'.A.A. Metaphor-based Semantic Browsing in M-FIRE, Mining Complex Patterns from Protein Surfaces, Critical analysis of query languages and ontology-based query rewriting techniques, Materialization of fragmented views in multidimensional databases. Prof. Matteo Golfarelli Alma Mater Studiorum - Università di Bologna Urbino – 15 maggio 2008 Introduzione al Data Warehousing. What-if analysis satisfies this need by enabling users to simulate and inspect the behavior of a complex system under Our work in this context focuses on visualization, in particular on how to automate the translation of the visualization objectives declared by the user into a suitable visualization type. Gini index for binary variables is calculated in the example below. Preferences are formulated either v... QBX is a CASE tool for data mart design resulting from a close collaboration between academy and industry. ... Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science Purchase. systems. dblp search. Lo sviluppo delle nuove tecnologie ha permesso la nascita del fenomeno dell’Internet of things, dei big data, della profanazione e dell’elaborazione dei dati in una società interconnessa, dove l’economia digitale è una delle più floride del mondo. Modalità d'esame Date e Orari, Il processo di scoperta della conoscenza: progettare un processo di data mining, Preprocessing: selezione e creazione degli attributi, Misurare la similarità e dissimilarità tra i dati, Tecniche di base I: gli alberi decisionali, Tecniche di base II: Insiemi di regole e Tecniche instance based. Surface-based techniques for protein comparison typically require applying clustering algorithms to the punctual 3D description of the surface... As several mature implementations of data warehousing systems are fully operational, a crucial role in preserving their up-to-dateness is played by the ability to manage the changes that the data warehouse (DW) schema undergoes over time in response to evolving business requirements. Most agile methods divide a project into sprints (iterations), and include a sprint planning phase that is critical to ensure the project success. This suggests that some further investigation on the methodological issues related to data warehouse design He is co-director of the Business Intelligence Group and Faculty of … Nevertheless, while most phases of data warehouse design have received considerable attention in the literature, not much has been said about data warehouse testing. The emerging medical models aim at leveraging on high-throughput genome sequencing technologies to better target drugs to patients' personal profiles so as to increase their effectiveness. What is Gini index? Read this book using Google Play Books app on your PC, android, iOS devices. © 2008-2020 ResearchGate GmbH. From user requirements to conceptual design in data ware-housedesign a survey, What-if Simulation Modeling in Business Intelligence, Visual Modelling of Data Warehousing Flows with UML Profiles, Open Source BI Platforms: A Functional and Architectural Comparison, A comprehensive approach to data warehouse testing, From User Requirements to Conceptual Design in Data Warehouse Design–a Survey, DFM as a Conceptual Model for Data Warehouse, Managing Late Measurements in Data Warehouses, X-Time: Schema Versioning and Cross-Version Querying in Data Warehouses, Clustering techniques for protein surfaces, Schema versioning in data warehouses: Enabling cross-version querying via schema augmentation, A Template-Matching Approach for Protein Surface Clustering, M-FIRE: A Metaphor-Based Framework for Information Representation and Exploration, Designing what-if analysis: Towards a methodology. Data Warehouse Design: Modern Principles and Methodologies: Golfarelli, Mattaeo, Rizzi, Stefano: Amazon.sg: Books In this paper we describe an approach, called... Data Warehouses are the core of the modern systems for decision making. In this demonstration we present MYOLAP, a Java-based tool that allows OLAP analyses to be personalized and enhanced by expressing “soft” query constraints in the form of user preferences. All rights reserved. Introduction to Information Retrieval. This paper proposes an approach based on cardinality constraints, derived a-priori from the application domain, which may bound either the cardinality of a view or the ratio between the cardinalities of two views. Italian Value is the privileged, strategic observatory for all Italian and international operators, professionals, and buyers. Database and data mining group, Politecnico di Torino Elena Baralis Politecnico di Torino DataBase and Data Mining Group of Politecnico di Torino D B MG Aggregate operators From Golfarelli, Rizzi,”Data warehouse, teoria e pratica della progettazione”, McGraw Hill 2006 year 1999 2000 quart. University students and faculty, institute members, and independent researchers, Technology or product developers, R&D specialists, and government or NGO employees in scientific roles, Health care professionals, including clinical researchers, Journalists, citizen scientists, or anyone interested in reading and discovering research. Despite the increasing diffusion of SBI applications, no specific and organic design methodology is available yet. Extract semi-structured data from the web/data provider/CRM Transform, enrich and clean data Load data in a system oriented to data analysis The process is much more complex since Crawling the web is not as easy as accessing the enterprise DBs Data are semi-structured Enrichment is based on text-mining and NLP techniques Data volume could be huge What-if Simulation Modeling in Business Intelligence: 10.4018/jdwm.2009080702: Optimizing decisions has become a vital factor for companies. Matteo Golfarelli is Associate Professor of Information Technology at the Science and Engineering Department of the University of Bologna and teaches information systems, databases and data mining. Location intelligence is a set of tools and techniques to integrate spatial features into BI platforms, aimed at better monitoring and interpreting business events related to the territory. HERA Group - Via Grigioni 19, 47122 Forli, Italy, Franco Sami. The most effective technique to enhance performances of multidimensional databases consists in materializing redundant aggregates called views. HERA Group - Via Grigioni 19, 47122 Forli, Italy Pivot tables are largely adopted in OLAP, the main... Schemaless databases, and document-oriented databases in particular, are preferred to relational ones for storing heterogeneous data with variable schemas and structural forms. L'esame si svolgerà sulla piattaforma TEAMS. Download for offline reading, highlight, bookmark or take notes while you read Data Warehouse Design: Modern Principles and Methodologies. This paper presents the joint work we carried out with HERA S.p.A., Italian gas provider leader, which goal is to forecast gas consumption for a given gas network as well as det... With the term Social Business Intelligence we refer to a branch of Business Intelligence specialized in applying On-Line Analytical Processing analysis to User-Generated Contents collected from the Web and other sources of social information. The DW process, though supporting bottom-up extraction of information from data, fails in top-down enforcing the company str... Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data min- ing in order to reduce the complexity of data management. IJDMMM aims to provide a professional forum for formulating, discussing and disseminating these solutions, which relate to the design, development, deployment, management, measurement, and adjustment of data warehousing, data mining, data modelling, data management, and other data analysis techniques. business requirements. gas procurement optimization, pipe network monitoring, management and security. Recognizing that two OLAP sessions are similar would be useful for different applications, such as query recommendation and personalization; however, the problem of measuring OLAP session similarity has not been studied so far. HERA Group - Via Grigioni 19, 47122 Forli, Italy Frequent itemset (FI) mining aims at discovering relevant patterns from sets of transactions. Cambridge University Press, 2008. The 17th East-European Conference on Advances in Databases and Information Systems (ADBIS 2013), held on September 1–4, 2013 in Genova,... Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. 17 33 A Abelló, J Darmont, L Etcheverry, M Golfarelli, JN Mazón, F Naumann, ... International Journal of Data Warehousing and Mining (IJDWM) 9 (2), 66-88 , 2013 131 24 - 47 [articolo] Open Access. In order to be able to evaluate beforehand the impact of a decision, managers need reliable provisional systems. In particular, he proposed a complete design methodology hinging on a graphical conceptual model, called dimensional fact model. The second week focuses on common manipulation needs, including regular … Temporal Data Warehousing: Approaches and Techniques: 10.4018/978-1-60960-537-7.ch001: Data warehouses are information repositories specialized in supporting decision making. The cost model keeps into account the network and IO costs as well as the most relevant CPU costs. However, it can hardly be directly used for OLAP querying. 1 Methodological framework Matteo Golfarelli University of Bologna - Italy Summary Methodological approaches Conceptual design The dimensional fact model Logical design The star schema Translating a conceptual schema Behond data warehousing Data mining What-if analysis Data Warehouse Design: Modern Principles and Methodologies: Amazon.es: Golfarelli, Matteo, Rizzi, Stefano: Libros en idiomas extranjeros 2 3 L’evoluzione dei sistemi ... 9data mining: richiede all’utente la conoscenza dei principi che stanno alla base degli strumenti utilizzati. Top Finalità Materiale didattico La prova dei due moduli (text mining e data mining) potrà essere svolta in giorni diversi purchè tra le due prove non passino più di 14gg (ricordiamoci che il corso è uno solo e va preparato integralmente), Lo studente comunica con circa 7-10 giorni di anticipo ai singoli docenti la data a partire dalla quale avrà completato la preparazione. Dimensions are typically described at different level of details through... OLAP queries are not normally formulated in isolation, but in the form of sequences called OLAP sessions. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili. (Libro di testo modulo Data Mining) Christopher Manning, Hinrich Schutze, Prabhakar Raghavan. Teoria e pratica della progettazione. systems. Matteo Francia, Matteo Golfarelli, Stefano Rizzi, A-BI+: A Framework for Augmented Business Intelligence, «INFORMATION SYSTEMS», 2020, 92, pp. What-if analysis fills this gap by enabling users to simula... Optimizing decisions has become a vital factor for companies. A key role in the analysis of textual UGC is played by topics, meant as specific concepts of interest within a subject area. Thus, expressing preferences could be highly valuable in this domain. The output of these techniques are knowledge artifacts, heterogeneous in both structure and semantics. The promulgation of a law that makes a set of ten vaccines obligatory has pushed this formerly niche topic to a mainstream level. The cost model covers the class of Generalized Projection, Selection, Join (GPSJ) queries. They store integrated information extracted from various and heterogeneous data sources, making it available in multidimensional form for analyses aimed at improving the users’ knowledge of their business. Offered by University of Michigan. Golfarelli M., Rizzi S. (2020). Accurately estimating the cardinality of aggregate views is crucial for logical and physical design of data warehouses. Date e Orari Prove d'esame e Risultati, Top Finalità Programma Materiale didattico Charu Aggarwal and ChengXiang Zhai Editors. In particular, whenever late registrations of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving accoun... Surface-based techniques for protein comparison and classification typically require a compact surface representation, capable of effectively condensing its description. Gini index is the most commonly used measure of inequality. Its ma... Data warehouse systems are characterized by a long and expensive development process that hardly meets the ambitious requirements The interest in trajectory data has sensibly increased since the widespread of mobile devices. 10 febbraio 2014. However, it can hardly be directly used for OLAP querying. admin_golfarelli. ... improving the data-to-visualization mapping in data mining by means of an interactive genetic algorithm. What-if analysis satisfies this need by enabling users to simulate and inspect the behavior of a com- plex system under some given hypotheses, called scenarios. 2013-2014 un modulo del corso sarà completamente dedicato alle tecniche di Text Mining che specializzano le suddette tecniche al dominio dei testi non strutturati. Frequent itemset mining (FIM) is an essential task within data analysis since it is responsible for extracting frequently occurring events, patterns, or items in data. Several factors impact on the optimality of a sprint plan, e.g., the estimated complexity, business value,... Inter-business collaborative contexts prefigure a distributed scenario where companies organize and coordinate themselves to develop common and shared opportunities, but traditional business intelligence systems do not provide support to this end. Though data warehouses enable analysis of past data, they are not capable of giving anticipations future trends. Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of proteins and the way they interact. Pang-Ning Tan, Michael Steinbach, Vipin Kumar Introduction to Data Mining. WAND assists the designer in building a data mart: it carries out conceptual design in a semi-automatic fashion from relational operational sources, allovs f... Join ResearchGate to find the people and research you need to help your work. To overcome this problem we propose a novel OLAP operation, called shrink, aimed at balancing data precision with data size in cub... A Data Warehouse is a huge multidimensional repository used for statistical analysis of historical data. Also referred as Gini ratio or Gini coefficient. He has published over 100 papers for international journals and conferences on topics such as pattern recognition, robotics, multi-agent systems and business intelligence – his primary research sector. In this paper we propose a novel cost model for Spark SQL. They divide a data warehouse project into sprints (iterations), and include a sprint planning phase that is critical to ensure the project success. While some techniques to create, publish, and query RDF cubes are already available, little has been said about how to contextualize these cubes with situational data in an on-demand fashion. BibTeX Insights from such pattern analysis offer important benefits in decision‐making processes. AbeBooks.com: Data Warehouse Design: Modern Principles and Methodologies (9780071610391) by Golfarelli, Matteo; Rizzi, Stefano and a great selection of similar New, Used and Collectible Books available now at great prices. In this paper we present a platform that implements a BI 2.0 architecture to support decision making in the precision agriculture domain. The effectiveness of our clustering algorithm in c... An open problem in the construction of an environment for visualizing and navigating information in the context of the Semantic Web is to guarantee a satisfactory compromise between expressivity and domain-independence.

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