pattern prediction
A SURVEY ON WEB LOG MINING AND PATTERN PREDICTION
... of pattern prediction is directly proportional to quality of data hence; the data preparation is an important phase of web log mining ...3.1.3 Pattern Discovery ...
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Efficient reversible hiding technique based on pairwise prediction error expansion
... rhombus pattern prediction scheme to predict prediction value of ...and prediction value is called prediction error and make sequence of ...adjacent prediction-errors and ...
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Question Generation for Question Answering
... question pattern prediction, both retrieval-based and generation-based methods per- form ...tern prediction in an end-to-end way; while in Retrieval-based QG, question topic selection is a separate ...
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Gene based Disease Prediction using Pattern Similarity based Classification
... identification helps human life to take precaution action towards disease occurrence. Thus it serves as an active alert mode for human lives. This machine learning tools show increased performance efficiency by using ...
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Spatio temporal adaptive sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner
... deviations pattern prediction is attained, or (ii) a part geometric and dimensional fault and its root cause have been ...of prediction obtained in the training ...
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Intelligent Shopping Recommender using Data Mining
... The proposed outcome of the project aims to provide better offers and deals to customers with targeting them individually, rather using a segmented approach(Shown in Fig1). It mainly concentrates on promoting offline ...
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Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize
... genomic prediction with training sets consisting of crossbred individuals (Ibánez-Escriche et ...genomic prediction models that fitted specific marker effects for the parental popula- tions ...same ...
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Prediction Model based on Moving Pattern
... moving pattern has been ...the prediction model is a two-step prediction model, it has a classification ...characteristic. Pattern moving space is constructed by statistical space mapping ...
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An autonomic prediction suite for cloud resource provisioning
... feature. Prediction techniques have been proposed for cloud computing to improve cloud resource ...autonomic prediction suite to improve the prediction accuracy of the auto-scaling system in the ...
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Prediction of severe acute exacerbation using changes in breathing pattern of COPD patients on home noninvasive ventilation
... explain this limit. First, the onset of an AECOPD is variable. This is highlighted by the IQR (1–3) of symptoms’ onset in our patients admitted for AECOPD. Hence, if the detection method requires 2 days outside the ...
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Effective Web Access Latency Reduction Through Clustering Prefetching and Caching
... are prediction engine and prefetching engine. Prediction engine predicts the clusters to be prefetched based on the analysis of the user access pattern for a specified period of ...by ...
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Protein Secondary Structure Prediction using Pattern Recognition Neural Network
... a Pattern Recognition Neural Network is ...the prediction is made on the structural state of the central residue of the ...The pattern recognition network is trained with the Scaled Conjugate ...
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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
... In order to address the challenge in model- ing word similarity, we propose an alternative, pattern-based, approach to word representation. In previous work patterns were used to represent a variety of semantic ...
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Method for UAV spraying pattern measurement with PLS model based spectrum analysis
... The sampling layout is shown in Figure 2. Paper strip was mounted on the shelf at a height of 1 m above the ground. To quantify the spraying pattern, water sensitive paper (WSP) cards (Syngenta Crop Protection AG, ...
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Forecasting Gold Price Changes: Application of an Equipped Artificial Neural Network
... Figure 1. Conceptual model for the prediction process As Fig. 1 shows, the proposed model consists of three different phases. The first phase, which is named metadata creation phase, attempts to provide the data ...
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Implementation of Image Processing Technique for Diagnosis of Diseases
... Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages of diseases. Medical informatics is the study that combines two medical data ...
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Mobile Commerce Pattern Mining Behavior Prediction Based On Kernel SVM
... in pattern mining behavior prediction study have some phases namely transformation, ruling store similarity and item resemblance, predict user ...the prediction engine also it have a user ...
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Social anxiety prediction pattern with regard to cognitive behavioral factors
... result conforms to the results obtained by Kimbrel (2008) [10]. This temperamental component has become the focus of attention as a possible predisposing factor in clinical depression. In this respect, it seems that ...
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A Survey On: Analysis of Pattern Mining and Behavior Prediction in M Commerce
... for pattern mining and prediction in M-commerce this gives an framework called MCE(Mobile commerce Explorer) for mobile users movement and purchases done by ...Commerce Pattern Mine) and the third is ...
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A fuzzy approach for grammatical analysis of English text
... the large amount of the data sets as well as the trained sets of data. In order to avoid usage of such large amount of data sets and trained data the proposed work uses a different way. The proposed work implements the ...
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