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Similarity analysis plays a key role in clustering of time series. Normalized longest common subsequence (NLCS) is a similarity measurement widely used in comparing character sequences. In this paper, we developed the NLCS and present a novel algorithm to precisely calculate the similarity of time series. The algorithm used the sum of all common subsequence instead of longest common subsequence which...
The study object of the analysis of sentence emotional tendency is sentences appearing in a particular context, its task is analyzing and extracting a variety of subjective information of the sentences and judging the emotional tendency of the sentences. Existing methods of analysis usually tend to divide the emotional tendency of sentences into positive and negative emotion categories, not further...
As association rules widely used, it needs to study many problems, one of which is the generally larger and multi-dimensional datasets, and the rapid growth of the mount of data. Single-processor's memory and CPU resources are very limited, which makes the algorithm performance inefficient. Recently the development of network and distributed technology makes cloud computing a reality in the implementation...
Web public sentiment reflects the people's attitude to society and politics, it's important to identify the web sensitive information correctly to build a harmonious network. Those existing monitoring systems relied on large common category libraries to do accurate identification, yet faced with the new and unknown events which is not recorded in the category libraries did not do in-depth research...
The information on the Web is growing dramatically. Without a recommendation system, the users may spend lots of time on the Web in finding the information they are interested in. Today, many Web recommendation systems can not give users enough personalized help but provide the user with lots of irrelevant information. One of the main reasons is that it can't accurately extract user's interests. Therefore,...
Traditional topic extraction methods only take text document into account and ignore user's contribution in the process of extraction. But it occurs to us that the browsing status of users in one topic plays a more important role in indicating whether this topic is currently hot than the properties of text document. So in this paper, we bring forward a method of extracting ??Chinese hot topic?? from...
Given a set of rectangular pieces and a container of fixed width and variable height, the 2D rectangular strip packing problem consists of orthogonally placing all the pieces within the container, without overlapping, such that the overall height of the layout is minimized. It has many industrial applications such as wood or glass cutting, very large scale integration design, etc. To solve this problem,...
Public sentiment reflects the people's attitude to society and politics. Since Web public sentiment sees most similarity with social network, in this paper we use threelayers social network to analyze Web public sentiment, and we use relative centrality and potential center to find the key node and we propose a new solution for analyzing and predicting the public sentiment situation by applying the...
An important property of complex networks is community structure. Community detection is significant to understand the network structure and analyze the network properties. In recent years, lots of algorithms have been developed to find community structure in complex networks. These algorithms, however, are based on unweighted networks, which limits their applications. An unweighted network is only...
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