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of the Discovery Process
"... This year marks the fiftieth anniversary of the first contemporary account of hypertrophic cardiomyopathy by Dr Robert Donald Teare, a pathologist working at St George’s hospital in London. In a now seminal case series in the British Heart Journal, Teare reported asymmetric hypertrophy of the interv ..."
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and Allan Adelman set forth the premise that logic is inherent to the discovery process itself, using a case study of hypertrophic cardiomyopathy2 as their primary example. References to sudden cardiac death are found in the 2400-year old Aphorisms of Hippocrates.3 In the seventeenth and eighteenth
Discovery process
"... and the Fuzzy Logic techniques and tools to the data cleaning, aggregating, reducing and mining stages of the Knowledge ..."
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and the Fuzzy Logic techniques and tools to the data cleaning, aggregating, reducing and mining stages of the Knowledge
Discovery Processes in Discovery Net
"... The activity of e-Science involves making discoveries by analyzing data to find new knowledge. Discoveries of value cannot be made by simply performing a pre-defined set of steps to produce a result. Rather, there is an original, creative aspect to the activity which by its nature cannot be automate ..."
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be automated. In addition to finding new knowledge, discovery therefore also concerns finding a process to find new knowledge. How discovery processes are modeled is therefore key to effectively practicing e-Science. We argue that since a discovery process instance serves a similar purpose to a mathematical
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
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Cited by 538 (0 self)
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of digital data. These theories and tools are the subject of the emerging field of knowledge discovery in databases (KDD). At an abstract level, the KDD field is concerned with the development of methods and techniques for making sense of data. The basic problem addressed by the KDD process is one of mapping
Traditional Drug Discovery Process.
, 2002
"... Abstract: This article reviews current achievements in the field of chemoinformatics and their impact on modern drug discovery processes. The main data mining approaches used in cheminformatics, such as descriptor computations, structural similarity matrices, and classification algorithms, are outli ..."
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Abstract: This article reviews current achievements in the field of chemoinformatics and their impact on modern drug discovery processes. The main data mining approaches used in cheminformatics, such as descriptor computations, structural similarity matrices, and classification algorithms
Learning and the Price Discovery Process
"... The price discovery process is often referred to as a “black box. ” This study sheds light in the box using the when-issued market for treasury bills. Specific features of the when-issued market for t-bills, including the resolution of all uncertainty when auction results are announced, provide a u ..."
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The price discovery process is often referred to as a “black box. ” This study sheds light in the box using the when-issued market for treasury bills. Specific features of the when-issued market for t-bills, including the resolution of all uncertainty when auction results are announced, provide a
On Service Discovery Process Types
- In: ICSOC05– Proc. of the 3rd Int. Conf. on Service Oriented Computing
, 2005
"... Abstract. With the growing adoption of service-oriented computing, locating services becomes increasingly commonplace. Accordingly, a large number of systems for service discovery have been developed. Although all these systems perform the same function, they do it in lots of different ways. Finding ..."
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Cited by 4 (0 self)
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. Finding commonalities of and differences between these systems can be hard due to the lack of criteria to compare and classify various discovery schemes. This paper identifies the processes of registration and look-up as a distinguishing feature of the various discovery systems. It describes the possible
Laboratory replication of scientific discovery processes
- Cognitive Sciences
, 1990
"... Fourteen subjects were tape-recorded while they undertook to find a law to sum-marize numerical doto they were given. The source of the data was not identified, nor were the variables lobeled semantically. Unknown to the subjects. the data were measurements of the distances of the planets from the s ..."
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Cited by 36 (3 self)
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by the subjects ore similar to those embodied in the BACON program, a computer simulation of certain scientific discovery pro-cesses. The experiment demonstrates the feasibility of examining some of the
Noise in the Price Discovery Process:
"... Price volatility and market efficiency is examined for an automated periodic auction mechanism and a continuous automated auction, using data on five futures contracts which obviate ambiguities due to periods of non-trading. ..."
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Price volatility and market efficiency is examined for an automated periodic auction mechanism and a continuous automated auction, using data on five futures contracts which obviate ambiguities due to periods of non-trading.
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