Global data mining: An empirical study of current trends, future forecasts and technology diffusions

Tsai, Hsu-Hao

doi:10.1016/j.eswa.2012.01.150

Cited by 35 publications

(28 citation statements)

References 70 publications

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“…En la literatura sobre la flexibilidad del área de operaciones durante el periodo 1991-2011, n toma un valor de 2.84, lo que evidencia que la ley de Lotka se verifica de forma bastante aproximada (ver figura 2). El que en esta área de estudio el valor sea superior a 2 pone de manifiesto que, en comparación con otras disciplinas (como por ejemplo el campo de la minería de datos cuyo valor es de 3.629 (Tsai, 2012), existe una mayor concentración de artículos en pocos autores productivos. El cumplimiento de esta ley es similar, en cambio, a las áreas de empresa familiar (Benavides y otros, 2011) o de la business ethic literature (Talukdar, 2011) donde los valores de n alcanzan 2.68 y 2.6 respectivamente.…”

Section: B) Cumplimiento De La Ley De Lotkaunclassified

Análisis de la relación entre flexibilidad en operaciones y performance empresarial mediante técnicas bibliométricas

Bedia¹,

Fernández²,

Pérez³

2013

Rev. esp. doc. cient.

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Resumen: El propósito de este trabajo es realizar un análisis bibliométrico en el campo del management de operaciones, en concreto el tema que relaciona flexibilidad operativa y la performance empresarial, en el periodo 1981-2011. En el análisis se aplican tanto indicadores de actividad (cuantificación de autores, revistas o Ley de Lotka) como de relación (citas por autor y revista, co-citación entre autores y análisis de co-palabras) utilizando como fuente de datos el Social Sciences Citation Index de Web of Science. Los resultados proporcionados por los indicadores de actividad han puesto de manifiesto que se trata de un campo de estudio relativamente reciente, en el que se verifica el cumplimiento de la ley de Lotka, y en el que los autores y revistas más productivos no necesariamente coinciden con los más citados. El análisis de co-citas ha identificado los autores que constituyen el marco teórico consolidado de referencia. Por último, el análisis de co-palabras ha permitido identificar las temáticas de investigación que conforman el ámbito de estudio y su clasificación en ampliamente desarrolladas, periféricas especializadas, periféricas poco desarrolladas y emergentes, a las que se debe prestar atención para contribuir al desarrollo y consolidación del campo.Palabras clave: Indicadores bibliométricos; ley de Lotka; co-citación de autores; co-palabras; flexibilidad operacional; performance; Social Sciences Citation Index. Relationship between operational flexibility and performance through bibliometric techniquesAbstract: The purpose of this paper is to present a bibliometric analysis in the field of operations management, specifically the issue that relates operational flexibility with business performance during the period 1981-2011. The analysis applies indicators concerning both activity (quantification of authors, journals or Lotka's Law) and relationships (citations by author, journal co-citation between authors and co-word analysis) using the Web of Science's Social Sciences Citation Index as a data source. The results provided by the activity indicators show that it is a relatively recent field of study, which verifies compliance with the Lotka's Law, and where the most productive authors and journals do not necessarily coincide with the most cited ones. The co-citation analysis has identified authors of reference in the field. Finally, the co-word analysis has allowed the identification of the research topics comprising the area of study and classified into widely developed issues, specialized peripheral issues, peripheral underdeveloped issues, and emerging subject matters. These are the most relevant, in that they identify important current issues that are still poorly developed.

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Section: B) Cumplimiento De La Ley De Lotkaunclassified

Análisis de la relación entre flexibilidad en operaciones y performance empresarial mediante técnicas bibliométricas

Bedia¹,

Fernández²,

Pérez³

2013

Rev. esp. doc. cient.

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“…With these techniques, words that occur in project or technology descriptions are used in the hidden semantic patterns but also words, that might be in these descriptions (Thorleuchter & Van den Poel, 2012d). This enables the identification of a similarity between a project and a set of technologies even if the words in the project description are completely different than the words in the technology descriptions (Tsai, 2012;Christidis, Mentzas, & Apostolou, 2012;Thorleuchter, Weck, & Van den Poel, 2012b). This approach uses LSI as well-known representative of these techniques.…”

Section: Semantic Approachesmentioning

confidence: 99%

Technology classification with latent semantic indexing

Thorleuchter

Poel

2013

Expert Systems with Applications

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Many national and international governments establish organizations for applied science research funding. For this, several organizations have defined procedures for identifying relevant projects that based on prioritized technologies. Even for applied science research projects, which combine several technologies it is difficult to identify all corresponding technologies of all research-funding organizations. In this paper, we present an approach to support researchers and to support research-funding planners by classifying applied science research projects according to corresponding technologies of research-funding organizations. In contrast to related work, this problem is solved by considering results from literature concerning the application based technological relationships and by creating a new approach that is based on latent semantic indexing (LSI) as semantic text classification algorithm. Technologies that occur together in the process of creating an application are grouped in classes, semantic textual patterns are identified as representative for each class, and projects are assigned to one of these classes. This enables the assignment of each project to all technologies semantically grouped by use of LSI. This approach is evaluated using the example of defense and security based technological research. This is because the growing importance of this application field leads to an increasing number of research projects and to the appearance of many new technologies.

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“…Computers and data mining are best-suited for this purpose. According to Hsu-Hao Tsai et al (2012) there is evidence-based medicine and prevention of hospital errors. When medical institutions apply data mining on their existing data, they can discover new, useful and potentially life-saving knowledge that otherwise would have remained inert in their databases.…”

Section: Review Of Literature For Application With Data Mining Imentioning

confidence: 99%

Data Mining& Health Care: Techniques of Application

Pradhan¹

2014

IJIRCCE

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ABSTRACT:The issue of health care assumes prime importance for the society and is a significant indicator of social development. Health is clearly not the mere absence of disease but confers on a person or group"s freedom from illness and the ability to realize one"s potential. Health is therefore best understood as the indispensable basis for defining a person"s sense of well-being. The delivery of health care services thus assumes greater proportion, and in this context the role played by information and communication technology has certainly a greater contribution for its effective delivery mechanism. The application of data mining is specifically relevant and it has been successfully applied in medical needs for its reliable precision accuracy and expeditious beneficial results. The various available application techniques have been discussed and analyzed for the purpose of the paper.

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Global data mining: An empirical study of current trends, future forecasts and technology diffusions

Cited by 35 publications

References 70 publications

Análisis de la relación entre flexibilidad en operaciones y performance empresarial mediante técnicas bibliométricas

Análisis de la relación entre flexibilidad en operaciones y performance empresarial mediante técnicas bibliométricas

Technology classification with latent semantic indexing

Data Mining& Health Care: Techniques of Application

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