Results 261 to 270 of about 28,374,038 (313)
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2018
Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way.
Nathan, Brown +10 more
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Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way.
Nathan, Brown +10 more
openaire +2 more sources
Knowledge discovery in data warehouses
ACM SIGMOD Record, 2000As the size of data warehouses increase to several hundreds of gigabytes or terabytes, the need for methods and tools that will automate the process of knowledge extraction, or guide the user to subsets of the dataset that are of particular interest, is becoming prominent.
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2012 16th International Conference on Intelligence in Next Generation Networks, 2012
This paper discusses context-aware data browsing and data retrieval for mobile subscribers. We describe existing models as well as provide a new description for our SpotEx approach. Our model for context-aware data discovery uses mobile phones as proximity sensors.
Dmitry Namiot, Manfred Sneps-Sneppe
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This paper discusses context-aware data browsing and data retrieval for mobile subscribers. We describe existing models as well as provide a new description for our SpotEx approach. Our model for context-aware data discovery uses mobile phones as proximity sensors.
Dmitry Namiot, Manfred Sneps-Sneppe
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Data compression producing structures—Discoveries
Information Processing & Management, 1976Abstract This paper describes a formalism to construct some kinds of algorithms useful to represent one structure about a set of data. It proves that if we do not take into account cost considerations of one algorithm, one can partialy replace the memory by an algorithm. It also proves that the remaining memory part is independant of the construction
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Synthesis Lectures on Information Concepts Retrieval and Services, 2022
Kathleen Gregory, Laura Koesten
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Kathleen Gregory, Laura Koesten
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Deterring Discovery-Driven Data Deletion
2014Litigation costs frequently frighten companies into deleting valuable data—and this problem has gotten worse with new technology. In the past, litigation costs were dwarfed by the physical costs of storage: keeping letters in filing cabinets was so expensive that companies deleted data without even considering litigation.
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Knowledge discovery from data?
IEEE Intelligent Systems, 2000The knowledge discovery and data mining (KDD) field draws on findings from statistics, databases, and artificial intelligence to construct tools that let users gain insight from massive data sets. People in business, science, medicine, academia, and government collect such data sets, and several commercial packages now offer general-purpose KDD tools ...
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Interactive Data Discovery in Data Lakes
2021As data is produced at an unprecedented rate, the need and ex- pectation to make it easily available for the end-users is growing. Dataset Discovery has become an important subject in the data management community, as it represents the means of providing the data to the user and fulfilling an information need.
Ionescu, A. (author) +2 more
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The availability of large data lakes has led to the development of numerous data discovery approaches, such as join discovery and correlation discovery with task-specific index structures and algorithms. However, current approaches face several disadvantages. The join discovery methods lead to a large number of false positives in the existence of multi-
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Mobile Enterprise Data Discovery
2016One of the most famous generals of World War II was George Patton, and the above quote is attributed to him. The statement reflects what Patton was best known for: taking action with the best possible information, instead of excessively analyzing situations. Patton was ardently opposed to digging in or establishing fixed fortifications, and he demanded
William Smith, Helen Sun
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