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Although there have been many past studies concerning recommendation learning, such studies have ignored that, in addition to recommending learning content to the learners for browsing and learning, the system should also observe their subsequent learning attention status. The premise of effective learning is that learners must exhibit a certain extent of attention during the learning process. The...
Digital watermarking has been a practical and interesting research topic in the last decade. Recently, a newly developed branch called reversible data hiding has emerged. It has attracted more and more attention in both researches and applications. With the definition of reversible data hiding, secret message can be hidden by schemes offered by algorithm designers. On the other hand, at the data extraction...
In this paper, a very high-throughput and area efficient hardware decoder of the binary (23, 12, 7) Golay code is presented. The key feature of this proposed algorithm is fast determination of the error positions through the analysis on the weight of syndromes without large operations of finite fields. Comparing with the algorithm using one syndrome, the proposed algorithm is more suitable for the...
Recently, a novel decoding procedure which is called the syndrome-weight determination for the Golay code, or the (23, 12, 7) quadratic residue code, was proposed by Chang et al. This method is not only very simple in principle but also suitable for the parallel hardware design. Furthermore, to develop a universal decoding algorithm for arbitrary binary quadratic residue codes is very important. In...
What-if analysis is important for decision-maker to evaluate adopting new strategy and help knowledge discovery. It mostly occurs in OLAP environments, based on implementation OLAP is divided into MOLAP and ROLAP. Most research focus on ROLAP but in the industrial sector MOLAP is more common. There is relatively little work talking about what-if analysis in MOLAP environments. The challenge of what-if...
Reverse skyline queries have been proved very useful in business location, environmental monitoring and some other applications. In this paper, we consider reverse skyline queries processing on data stream, which provides continuous, high-speed data elements. Specifically, we consider the latest objects in the sliding window. The challenge is that it is difficult to maintain a multidimensional index...
Frequent itemsets mining is an important problem in data mining. Frequent closed itemsets mining provides complete and condensed information for frequent pattern analysis thus reduces the memory cost without accuracy loss. More research focus on stream mining with the more application of stream. Stream is fast and unlimited thus data had to be stored in limited memory, how to save running time and...
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