In this paper, we arithmetically describe the convex hull of a digital straight segment by three recurrence relations. This characterization gives new insights into the combinatorial structure of digital straight segments of arbitrary length and intercept. It also leads to two on-line algorithms that computes a part of the convex hull of a given digital straight segment. They both run in consta...

We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurrence history so far. It has many applications, for example, in Web search and social tagging. In this paper, we propose a time-sensitive language modelling approach to this problem that effectively combines term freque...

The paper investigates the effective detection and esdmation of = m v e wear at the minor cutting edge, which has a mtal influence on surface quality in finish-machining. During bar-turning experiments with different cutting conditions, a miniature 3-D accelerometer, mounted in close vicinity to the tool tip, was used to measure the multivariate vibration signal produced by the turning process....

Online forums are becoming a popular resource in the state of the art question answering (QA) systems. Because of its nature as an online community, it contains more updated knowledge than other places. However, going through tedious and redundant posts to look for answers could be very time consuming. Most prior work focused on extracting only question answering sentences from user conversatio...

The present research is conducted to show that organizations can use wiki to attract customers' purchase intention inside the e-commerce context. Considering the relation between wiki and ecommerce for CRM, this research tries to explore the characteristics such as perceived risk, customer experience, knowledge sharing culture, trust and knowledge sharing in wiki tool impact on purchase intenti...

We present GDBR, Generalize DataBase Relation, an optimal, on-line O(n) algorithm for database relation generalization using concept hierarchies. The algorithm is a variant of attribute-oriented induction which generalizes database relations in either O(n log n) or O(np) time, where n is the number of input tuples and p is the number of tuples in the output relation. We augment the concept hier...

Data derived from 72 students in online English course showed that online self-efficacy was a moderating factor in relation between learning strategy and online performance. In high online self-efficacy group, online performance was predicted by learning strategy positively, which explained 23% of the performance variance. In low online self-efficacy group, online performance was not predicted ...

While the development of online education has been progressing rapidly, further research is needed on the experiences of students in online courses. One concept that has been explored in relation to the quality of the online learning experience is social presence, the degree to which a person is perceived as “real” in mediated communication. The purpose of this article is to discuss the finding...

In the past, most incremental mining and online mining algorithms considered finding the set of association rules or patterns consistent with the entire set of data inserted so far. Users can not easily obtain the results from their only interested portion of data. For providing ad-hoc, query-driven and online mining supports, we first propose a relation called multidimensional pattern relation...

With the economic development in China, hotel industry has grown along with tourism industry. However, emergence of hotels same type and renewal consumers' consumption habits, online travel agency platforms are becoming more valuable as a guideline for consumers. This study analyzes users’ tendency process experience relationship between review texts ratings two five-star close to each other ad...