317,482 research outputs found

    Classification Of Mobile Phone Purchases Based On Sales Transaction Data Using The Rule Based Reasoning

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    Ordering goods to mobile distributors randomly without classifying the items that are in great demand by consumers is certainly very detrimental because it greatly affects the sale of goods, The solution to make it easier for shop owners to place orders to distributors in terms of selecting the type of goods that consumers are very interested in is by using an application using the method Rule Base Reasoning based on transaction data that has been done. Rule Base Reasoning is an expert system based on a set of rules that represent human knowledge and experience in solving complex cases and imitating human ability to make decisions and solve problems. Test results of the most sold cellphones are A12 as much as 97%, A1K 67%, Rodmin 8 Apro 53 and others ranging from 3% to 30%, Searching for similarity values ​​is enough to do for cases that have the same index as the new case, This system only stored in the database that has been provided and the input data received by the system is still limited

    The Computer as a Tool for Legal Research

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    Substring filtering for low-cost linked data interfaces

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    Recently, Triple Pattern Fragments (TPFS) were introduced as a low-cost server-side interface when high numbers of clients need to evaluate SPARQL queries. Scalability is achieved by moving part of the query execution to the client, at the cost of elevated query times. Since the TPFS interface purposely does not support complex constructs such as SPARQL filters, queries that use them need to be executed mostly on the client, resulting in long execution times. We therefore investigated the impact of adding a literal substring matching feature to the TPFS interface, with the goal of improving query performance while maintaining low server cost. In this paper, we discuss the client/server setup and compare the performance of SPARQL queries on multiple implementations, including Elastic Search and case-insensitive FM-index. Our evaluations indicate that these improvements allow for faster query execution without significantly increasing the load on the server. Offering the substring feature on TPF servers allows users to obtain faster responses for filter-based SPARQL queries. Furthermore, substring matching can be used to support other filters such as complete regular expressions or range queries

    Prospects and limitations of full-text index structures in genome analysis

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    The combination of incessant advances in sequencing technology producing large amounts of data and innovative bioinformatics approaches, designed to cope with this data flood, has led to new interesting results in the life sciences. Given the magnitude of sequence data to be processed, many bioinformatics tools rely on efficient solutions to a variety of complex string problems. These solutions include fast heuristic algorithms and advanced data structures, generally referred to as index structures. Although the importance of index structures is generally known to the bioinformatics community, the design and potency of these data structures, as well as their properties and limitations, are less understood. Moreover, the last decade has seen a boom in the number of variant index structures featuring complex and diverse memory-time trade-offs. This article brings a comprehensive state-of-the-art overview of the most popular index structures and their recently developed variants. Their features, interrelationships, the trade-offs they impose, but also their practical limitations, are explained and compared

    A bibliographic metadata infrastructure for the twenty-first century

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    The current library bibliographic infrastructure was constructed in the early days of computers – before the Web, XML, and a variety of other technological advances that now offer new opportunities. General requirements of a modern metadata infrastructure for libraries are identified, including such qualities as versatility, extensibility, granularity, and openness. A new kind of metadata infrastructure is then proposed that exhibits at least some of those qualities. Some key challenges that must be overcome to implement a change of this magnitude are identified
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