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The extracted product aspects (like “battery life”, “zoom”) from online customer reviews are dissimilar in their significances, some of these aspects have a great influence on the potential customer's decision likewise on the businesses' strategies for product enhancements. Supporting the probable customers with a list of the most representative product aspects will assist their purchasing decision...
The problem of link prediction has been studied extensively in literature. There are various versions of the link prediction problem e.g., link existence problem, link removal problem, predicting edge weights over time etc. In this paper we describe a new type of link prediction problem called the Internetwork link-prediction problem where the task is to predict links across different networks. Thus...
A Web content mining approach identified 20 job categories and the associated skills needs prevalent in the computing professions. Using a Web content data mining application, we extracted almost a quarter million unique IT job descriptions from various job search engines and distilled each to its required skill sets. We statistically examined these, revealing 20 clusters of similar skill sets that...
The main purpose of the work described in this paper was to determine if there is any significant difference in the measured colour of reactive dyes on the various woven fabrics used in the textile printing process. Hence, this paper discusses the outcome of experimental work to quantify the colour of reactive dyes on woven fabrics. This involved the application of a spectrophotometer to carry out...
There are many different categories of robot such as educational robots, unmanned aerial vehicle, underwater robot, biomemetic and so on. Research activity in hybrid robotics systems has increased substantially in the last few years. The robotics competition known as Robocon, requires the use of autonomous and hybrid robots that are designed and developed by undergraduate students. A hybrid robot...
Online education is considered not equivalent to conventional education as student learning may not be on same quality. Literature guided that studentpsilas learning depends on various factors including quality of the training material provided in online education system. In Pakistan, certain universities are offering online education degree programs. The selected quality of training material as independent...
In this research, holes mobility enhancement is studied using Silicon Germanium, SiGe technology. SiGe is deposited on silicon substrate to increase carrier mobility in the device thus will increase the drive current too. The main focus of the research is to investigate the effect of using SiGe on holes mobility. In addition, variation thicknesses of SiGe on device characteristic are also studied...
The maximal length pseudo random binary sequence is known as m-sequence. The m-sequence of domain {0, 1} can be represented in bipolar form of sequence in domain {-1, 1}. The m-sequences are used for watermarking because of their very good correlation properties, noise like characteristics and resistance to interference. This paper investigates a new locking condition in the operations of an m-sequence...
The software evolution requires an exhaustive understanding of all the artifacts or components composing the software. In fact, any intended change may generate an impact propagated to the various software components through the different kind of relationships relating them. This situation is generally called the ripple effect and may cause several types of damages or side effects. In this paper,...
The software evolution is often a continuous process necessary to avoid a short longevity of software use. The evolution control requires analysis to be processed respectively before and after software change implementation. First, an a priori change impact analysis is required to help decisions takers by estimation of intended impact and its propagation to other software components. Secondly, an...
Existing studies in data mining mostly focus on finding patterns in large datasets and further using it for organizational decision making. However, finding such exceptions and outliers has not yet received as much attention in the data mining field as some other topics have, such as association rules, classification and clustering. Thus, this paper describes the performance of control chart, linear...
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