Neste trabalho é apresentado um breve estudo sobre o processo de descoberta de conhecimento em banco de dados, com enfoque na etapa de mineração de dados através de regras de associação. Propostas por Agrawal em 1993, num estudo chamado análise de cesta de mercado, as regras de associação representam que com um certo grau de suporte e confiança um conjunto de itens pode estar presente numa transação visto que outro conjunto está presente. A necessidade de análise semelhante às realizadas por Agrawal surgiu em outros campos e estas foram estendidas a outras aplicações. Neste, são apresentadas as principais variações sobre o tema regras de associação encontradas na literatura. É proposta a mineração de dados através de regras de associação sobre filtros de mensagens e canais de informação do software de catálogo, agenda e correio eletrônico Direto. Para as pesquisas são utilizadas três ferramentas: Intelligent Miner, CBA e Magnus Opus. Elas foram aplicadas sobre uma lista de discussão da Linguagem Java, pois o projeto Direto ainda não possui mensagens públicas. As ferramentas possuem características distintas: o Intelligent Miner permite a definição de hierarquias sobre os dados que serão minerados; o Magnus Opus trabalha com diversos filtros e com a definição de intervalos para o tratamento de campos numéricos; o CBA permite que sejam especificados suportes múltiplos para os itens. / This work presents a brief review about knowledge discovery in database having association rules as the data mining process. Association rules were proposed by Agrawal in 1993 in a basket data analysis. Association rules have been extended to other applications because there is a necessity for similar Agrawal’s analysis in different domains. Here are presented some variations proposed in the literature about association rules along with the main algorithms. This work proposes the use of association rules over message filters and information channels from the Direto, which is a catalog, schedule and e-mail software. Three data mining tools were used: Intelligent Miner, CBA and Magnus Opus. They were applied over a Java discussion list because Direto project does not have public messages. Each tool has distinct features: Intelligent Miner allows to define a hierarchy over the data that will be mined; Magnus Opus works with many filters over the data and permits to define ranges over numeric fields and CBA allows to specify multiple minimum support over the items.

Neste trabalho é apresentado um breve estudo sobre o processo de descoberta de conhecimento em banco de dados, com enfoque na etapa de mineração de dados através de regras de associação. Propostas por Agrawal em 1993, num estudo chamado análise de cesta de mercado, as regras de associação representam que com um certo grau de suporte e confiança um conjunto de itens pode estar presente numa transação visto que outro conjunto está presente. A necessidade de análise semelhante às realizadas por Agrawal surgiu em outros campos e estas foram estendidas a outras aplicações. Neste, são apresentadas as principais variações sobre o tema regras de associação encontradas na literatura. É proposta a mineração de dados através de regras de associação sobre filtros de mensagens e canais de informação do software de catálogo, agenda e correio eletrônico Direto. Para as pesquisas são utilizadas três ferramentas: Intelligent Miner, CBA e Magnus Opus. Elas foram aplicadas sobre uma lista de discussão da Linguagem Java, pois o projeto Direto ainda não possui mensagens públicas. As ferramentas possuem características distintas: o Intelligent Miner permite a definição de hierarquias sobre os dados que serão minerados; o Magnus Opus trabalha com diversos filtros e com a definição de intervalos para o tratamento de campos numéricos; o CBA permite que sejam especificados suportes múltiplos para os itens. / This work presents a brief review about knowledge discovery in database having association rules as the data mining process. Association rules were proposed by Agrawal in 1993 in a basket data analysis. Association rules have been extended to other applications because there is a necessity for similar Agrawal’s analysis in different domains. Here are presented some variations proposed in the literature about association rules along with the main algorithms. This work proposes the use of association rules over message filters and information channels from the Direto, which is a catalog, schedule and e-mail software. Three data mining tools were used: Intelligent Miner, CBA and Magnus Opus. They were applied over a Java discussion list because Direto project does not have public messages. Each tool has distinct features: Intelligent Miner allows to define a hierarchy over the data that will be mined; Magnus Opus works with many filters over the data and permits to define ranges over numeric fields and CBA allows to specify multiple minimum support over the items.

Neste trabalho é apresentado um breve estudo sobre o processo de descoberta de conhecimento em banco de dados, com enfoque na etapa de mineração de dados através de regras de associação. Propostas por Agrawal em 1993, num estudo chamado análise de cesta de mercado, as regras de associação representam que com um certo grau de suporte e confiança um conjunto de itens pode estar presente numa transação visto que outro conjunto está presente. A necessidade de análise semelhante às realizadas por Agrawal surgiu em outros campos e estas foram estendidas a outras aplicações. Neste, são apresentadas as principais variações sobre o tema regras de associação encontradas na literatura. É proposta a mineração de dados através de regras de associação sobre filtros de mensagens e canais de informação do software de catálogo, agenda e correio eletrônico Direto. Para as pesquisas são utilizadas três ferramentas: Intelligent Miner, CBA e Magnus Opus. Elas foram aplicadas sobre uma lista de discussão da Linguagem Java, pois o projeto Direto ainda não possui mensagens públicas. As ferramentas possuem características distintas: o Intelligent Miner permite a definição de hierarquias sobre os dados que serão minerados; o Magnus Opus trabalha com diversos filtros e com a definição de intervalos para o tratamento de campos numéricos; o CBA permite que sejam especificados suportes múltiplos para os itens. / This work presents a brief review about knowledge discovery in database having association rules as the data mining process. Association rules were proposed by Agrawal in 1993 in a basket data analysis. Association rules have been extended to other applications because there is a necessity for similar Agrawal’s analysis in different domains. Here are presented some variations proposed in the literature about association rules along with the main algorithms. This work proposes the use of association rules over message filters and information channels from the Direto, which is a catalog, schedule and e-mail software. Three data mining tools were used: Intelligent Miner, CBA and Magnus Opus. They were applied over a Java discussion list because Direto project does not have public messages. Each tool has distinct features: Intelligent Miner allows to define a hierarchy over the data that will be mined; Magnus Opus works with many filters over the data and permits to define ranges over numeric fields and CBA allows to specify multiple minimum support over the items.

Gradus ad Parnassum of Modern Flute Technique: An Explication of Musical Intention and Design in 30 Capricen für Flöte allein, Opus 107 by Sigfrid Karg-Elert, with Three Recitals of Selected Works by Schulhoff, Telemann, Berio, Bach, Rodrigo, Gieseking, Reinecke, and Others

This thesis deals with description of human hearing, audio and speech codecs, description of objective measure of quality and practical comparison of codecs. Chapter about audio codecs consists of description of lossless codec FLAC and lossy codecs MP3 and Ogg Vorbis. In chapter about speech codecs is description of linear predictive coding and G.729 and OPUS codecs. Evaluation of quality consists of description of segmental signal-to- noise ratio and perceptual evaluation of quality – WSS and PESQ. Last chapter deals with description od practical part of this thesis, that is comparison of memory and time consumption of audio codecs and perceptual evaluation of speech codecs quality.

Die Folien skizzieren einen Projektantrag, der (2008 und überarbeitet 2009) bei der Deutschen Forschungsgemeinschaft DFG eingereicht wurde. Absicht der beiden Antragssteller, des Instituts der Gesellschaft zur Förderung der Angewandten Informationsforschung (IAI, http://www.iai.uni-sb.de/iaide/index.htm) und der Saarländischen Universitäts- und Landesbibliothek (SULB, http://www.sulb.uni-saarland.de), war es, die am IAI entwickelte Software AUTINDEX zur halbautomatischen Verschlagwortung in Open-Access-Repositories einzubinden. Da Autoren große Mühe mit der Verschlagwortung ihrer Dokumente nach der Schlagwortnormdatei (SWD) haben, sollten sie, ganz im Sinne des "Easy Submission"-Postulats, beim Enspielen der Dokumente unterstützt werden. Mit Hilfe einer linguistisch intelligenten Software sollten automatisch Schlagwörter aus der SWD zu einem eingereichten Dokument erzeugt und dem Autoren angeboten werden. Dieser hätte anschließend entschieden, welche der angebotenen Schlagwörter er dem Dokument zuweisen möchte. Der typische Workflow beim Einspielen von Dokumenten verlangt vom Autor das Ausfüllen eines Metadatenformulars, idealerweise inklusive der Beschreibung mit SWD-Schlagworten. Da die SWD den Autoren nicht vertraut ist, vergeben diese meist unexakte, zu grobe oder falsche Schlagworte - oder solche, die in der SWD nicht existieren. Daher wird ein aufwändiges Nachbearbeiten seitens des Serverbetreibers nötig, der zwar über Expertise in der SWD-Nutzung verfügt, allerdings das Dokument nicht so exakt beschreiben kann wie es dem Autoren möglich wäre. Für ein exaktes Retrieval wäre es sinnvoll, wenn die Wissenschaftler selbst eine exakte Verschlagwortung vornähmen. Die im mittlerweile leider abgelehnten Antrag geplante prototypische, offene und nachnutzbare Einbindung einer Software zur automatischen Vergabe von SWD-Schlagworten hätte eine erhebliche Erleichterung des Veröffentlichungs- und Bearbeitungsprozesses einerseits und eine Verbesserung der Metadatenqualität andererseits gesichert.

Beethoven's complex manipulation of formal structures, especially his tendency to build important connections and transformative continuities between non-adjacent sections of musical works, may be seen to function as an attempt to control and sometimes to distort the listener's perception of both the narrative process of musical directionality, as well as the subjective interpretation of time itself. Temporal distortion often lies at the heart of Beethoven's complex contrapuntal language, demonstrated equally through the composer's often enigmatic disruption of phrase-periodic gestures, as well as by occasional instances of overtly incongruous temporal shifts. The "Krakow" collection of compositional sketches for Beethoven's String Quartet in E-Flat, Op. 127, provides a number of instances of "non-linear" or "multi-linear" musical continuity. The term "Krakow" sketches, when referenced in this dissertation, specifically designates the group of Beethoven manuscripts possessed by the Biblioteka Jagiellońska in Krakow, Poland, but which formerly were held by the Royal Library in Berlin. Structural voice-leading analyses are provided for selected portions of the "Krakow" collection; these analyses are then compared to voice-leading graphs and analytical reductions of the corresponding material from Beethoven's published versions of the same musical passages. In some cases the sketches supply almost complete texts, for which critical transcriptions are included as extended examples within the dissertation. The primary analytical technique applied to both compositional sketches as well as to complete musical texts derives from Heinrich Schenker's theory of structural voice-leading and graphical reduction. An important method of critical assessment, from which a number of theoretical arguments are developed, is the contention that Beethoven's contrapuntal language, at least in regard to the op. 127 String Quartet, relies heavily upon a temporal distortion of both form and phrase-periodic gestures, requiring the listener to actively re-construct the continuity of Beethoven's subjective formal archetypes.

Music that is categorized as part of the Indianist movement in American music (ca. 1890-1925) typically evokes Native American culture, ritual, story, or song through compositional gestures. It may also incorporate Native American tunes. Amy Beach (1867-1944) is considered to have composed five Indianist works, but her Theme and Variations for Flute and String Quartet, op. 80 has not been included as one of them. This thesis rethinks categorization of the piece, seeking the "Indian" in it through examination of its gestures, instrumentation, and relationship to contemporary Indianist compositions.

No description available.

Jahresbericht der Universitätsbibliothek Chemnitz - Berichtsjahr 2006 / Annual report of the University Library of Chemnitz in 2006