Topic
Data management
About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.
Papers published on a yearly basis
Papers
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TL;DR: Views on social network data based recommender systems are expressed by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques.
Abstract: Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker SPTW and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.
104 citations
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13 Apr 2000TL;DR: In this article, a system, method and computer program are provided for generating error and summary reports for a data load, where a plurality of records to be loaded in a database are received.
Abstract: A system, method and computer program are provided for generating error and summary reports for a data load. A plurality of records to be loaded in a database are received. The records may include medical records. A data management template corresponding to the records is chosen. It is verified that all records to be loaded match the data management template. The records are sent to a database for loading in the database upon validation that the records match the data management template. A report of records that match the data management template and records that do not match the data management template is compiled.
103 citations
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TL;DR: In this paper, the authors highlight the emergence of knowledge-based economies, which are dependent on their effectiveness in developing and utilising knowledge, and highlight the need for knowledge management to translate data and information in a meaningful way.
Abstract: Highlights the emergence of the knowledge‐based economies reliant on their effectiveness in developing and utilising knowledge. Knowledge embodied in new products and services has become the primary source of wealth creation. Digital networks provide access to vast amounts of data and information, but knowledge management is required to translate data and information in a meaningful way. Knowledge management initiatives are unlikely to be successful unless they are integrated with business strategy, and related to the development of the core capabilities of the organisation. Sharing the discovery and synthesis of intellectual activity involves the creation of knowledge communities of practice.
103 citations
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07 Oct 2002TL;DR: This work investigates alternatives to obtaining all the data behind a form by multiple submissions of the form filled out in all possible ways and shows that they can estimate the amount of remaining data after a small number of submissions and can heuristically select a reasonably minimal number of applications to maximize the coverage of the data.
Abstract: A significant and ever-increasing amount of data is accessible only by filling out HTML forms to query an underlying Web data source. While this is most welcome from a user perspective (queries are relatively easy and precise) and from a data management perspective (static pages need not be maintained and databases can be accessed directly), automated agents must face the challenge of obtaining the data behind forms. In principle an agent can obtain all the data behind a form by multiple submissions of the form filled out in all possible ways, but efficiency concerns lead us to consider alternatives. We investigate these alternatives and show that we can estimate the amount of remaining data (if any) after a small number of submissions and that we can heuristically select a reasonably minimal number of submissions to maximize the coverage of the data. Experimental results show that these statistical predictions are appropriate and useful.
103 citations
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TL;DR: The road map of a distributed modeling framework for plant-wide process monitoring is introduced, based on which the whole plant- wide process is decomposed into different blocks, and statistical data models are constructed in those blocks.
Abstract: With the growing complexity of the modern industrial process, monitoring large-scale plant-wide processes has become quite popular. Unlike traditional processes, the measured data in the plant-wide process pose great challenges to information capture, data management, and storage. More importantly, it is difficult to efficiently interpret the information hidden within those data. In this paper, the road map of a distributed modeling framework for plant-wide process monitoring is introduced. Based on this framework, the whole plant-wide process is decomposed into different blocks, and statistical data models are constructed in those blocks. For online monitoring, the results obtained from different blocks are integrated through the decision fusion algorithm. A detailed case study is carried out for performance evaluation of the plant-wide monitoring method. Research challenges and perspectives are discussed and highlighted for future work.
103 citations