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API documentation is useful for developers to better understand how tocorrectly use the libraries. However, not all libraries provide gooddocumentation on API usages. To provide better documentation, existingtechniques have been proposed including program analysis-based anddata mining-based approaches. In this work, instead of mining, we aimto generate behavioral exception documentation for any given...
As multi-dimensional text data are being generated at dazzling rate, topic modelling has become an important instrument for learning from large unstructured document sets. To focus on specific subsets of large document corpora, a user may specify various criteria to identify documents of interest before extracting topics from the documents. In this paper, we aim to accelerate the computation of topic...
Given an input tensor, its CANDECOMP/PARAFAC decomposition (or CPD) is a low-rank representation. CPDs are of particular interest in data analysis and mining, especially when the data tensor is sparse and of higher order (dimension). This paper focuses on the central bottleneck of a CPD algorithm, which is evaluating a sequence of matricized tensor times Khatri-Rao products (MTTKRPs). To speed up...
Bayesian nonparametric (BNP) models have recently become popular due to their flexibility in identifying the unknown number of clusters. However, they have difficulties handling heterogeneous data from multiple sources. Existing BNP methods either treat each of these sources independently - hence do not get benefits from the correlating information between them, or require to explicitly specify data...
The opportunities to empirically study temporal networks nowadays are immense thanks to Internet of Things technologies along with ubiquitous and pervasive computing that allow a real-time fine-grained collection of social network data. This empowers data analytics and data scientists to reason about complex temporal phenomena, such as disease spread, residential energy consumption, political conflicts...
Music documents retrieval system in most websites are useful for users who want to search sheet music which consists of chords, notes, or lyrics in a printable sheet format. With the growth of music repositories, music classification based on musical similarity can help users to find the same kind of songs. One important aspect to define music similarity measure is chord progression. In this paper,...
We present a novel extraction scheme for crack-free isosurfaces from adaptive mesh refinement (AMR) data that builds on prior work utilizing dual grids and filling resulting gaps with stitch cells. We use a case-table-based approach to simplify the implementation of stitch cell generation. The most significant benefit of our new approach is that it uses ghost data to handle parallel isosurface extraction...
This paper studied the problems of parameter system construction for large-scale Internet of Thing situation assessment. It also states the research of situational awareness and assessment of IP network briefly, the situation assessment differences between Internet of Thing and IP network are dicussed, for some especial aspects and the significance about large-scale Internet of Thing situation assessment...
In the present study we investigate the evolutionary feature subset selection using wrapper based genetic algorithms on Multi-temporal datasets. Feature subset selection helps in reducing the original feature dimension and also yields high performance. The evolutionary strategy attains a global optimum by reducing the computations iteratively and by traversing intelligently in the entire feature space...
Mining exploration destroys the soil structure, vegetation coverage, landform and physiognomy, especially, the non-renewable soil layer. It has greatly hindered the sustainable development of the mining area and caused great losses. Based on existing soil erosion data, contradictory problems between the mining exploration and soil degradation were analyzed. The basic data was obtained using GIS and...
In view of complexity of the business websites and fuzziness of quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation become the advantage model for business website assessment. The core computing of Fuzzy Evaluation is the membership conversion, however, membership conversion way at present has a problem of redundancy, that is, the redundant data which has no value to objective...
Data mining based on rough set is introduced into CBR (Case-based Reasoning) system. And learning model of case base is established. The potential knowledge of case base is obtained and studied, through attribute reduction and attribute value reduction. Meanwhile, the structure and performance of case base is maintained and improved, through case reduction. The establishment of case base learning...
Stock index forecasting is an important issue for investors and financial researchers as the movements of stock indices are nonlinear and subject to multiple factors. In this paper, we try to forecast the movements of Shanghai Composite Index using Generalized Autoregressive Condition Heteroskedasticity model. In order to increase accuracy, we introduced data mining technique and carried out forecast...
Recently, many papers have proposed automatic techniques for · extraction of knowledge from numerical data. · minimization of the number of rules. But few works have been developed for design of experiments and datum plane covering. Most of optimization methods make the assumption that datum plane is sufficiently covered. If this assumption no longer holds, we will see that these methods may not work,...
Data quality evaluation is an important part of the process of data mining. This article has build the information quality evaluation index system and evaluation model, determines the quantitative index for each quality dimension, and also demonstrates the formulas to calculate them. The article takes the completeness as an example: Evaluate the information quality completeness dimension of key factors...
This paper is concerned with the theory and method of information retrieval for solving mass literature retrieval. The corresponding retrieval method for mass literature with the feature of huge capacity, rapid responding time limit is designed and the implementing process and relating algorithm is illustrated as well.
Creating interaction models are most important part in the process of distributed interaction simulation system development. It is an efficient way for developing models by composition of reusable components. Most simulation system has high complexity in interaction and successful composition of models means correct in both syntactic and semantic level. In HLA, the most popular architecture and provides...
A variety of problems arising in communication networks, computer networks, automated manufacturing plants, etc. can be described by min-max-plus system models. Output feedback stabilization for the nonlinear, non-autonomous minmax-plus system (F, G, H) is studied in this paper. A new coloring graph structure is presented based on the new, complex conditions. The former research on new circuits of...
The performance evaluation of supply chains is the key of effective supply chain management, which is not only helpful to describe and analyze the historical performance and status, but also can be used to set performance targets and determine the future focus. The paper, according to the shortcomings of existing fuzzy comprehensive evaluation models, eliminated the redundant data in index membership...
For the requirements and characteristics of the software quality synthesis evaluation, this paper creates a matter-element model and an extension evaluation method for software quality metrics. This method combines software's pure qualitative indices with specific quantitative metrics algorithm, by which the complex expression and computation of the qualitative and quantitative synthesis evaluation...
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