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Association Analysis Techniques and Applications in Bioinformatics
Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help...
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Group Guided Data Association for Multiple Object Tracking
Multiple Object Tracking (MOT) usually adopts the Tracking-by-Detection paradigm, which transforms the problem into data association. However, these...
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Association Analysis
We have learned that correlation measures the linear association strength between two numerical variables. While correlation study requires the two...
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Exploring image data association: A hybrid mining approach
In this paper, a new approach for mining image association rules is presented, which involves the fine-tuned CNN model, as well as the proposed FIAR...
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Detection Method of Large Industrial CT Data Transmission Information Anomaly Based on Association Rules
In the abnormal detection of large industrial CT data transmission information, the network is unstable and vulnerable to noise interference,...
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Data Association Mining Method of Vocational College Students’ Employment Education Based on Machine Learning Model
In the process of data association mining using traditional methods, data mining is affected by incomplete data mining, resulting in large errors in...
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A Study of Using Synthetic Data for Effective Association Knowledge Learning
Association, aiming to link bounding boxes of the same identity in a video sequence, is a central component in multi-object tracking (MOT). To train...
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Weak Association Mining Algorithm for Long Distance Wireless Hybrid Transmission Data in Cloud Computing
Long distance wireless hybrid transmission data is vulnerable to noise, resulting in low data mining accuracy, large mining error and poor mining...
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Association
In this final chapter, we are going to see the theoretical foundations of events Association analysis and the main techniques used to carry it out....
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Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
We propose the use of maximal frequent itemsets (MFIs) to derive association rules from tabular datasets. We first present an efficient method to...
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A Novel Data Association Method for Multi-target Tracking Based on IACA
Aiming at the data association problem of multi-target tracking, a data association method for multi-target tracking is given based on an improved...
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Incremental Mining on Association Rules
The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important...
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P-IoU: Accurate Motion Prediction Based Data Association for Multi-object Tracking
Multi-object tracking in complex scenarios remains a challenging task due to objects’ irregular motions and indistinguishable appearances....
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Research on safety verification methods of static data of train control systems based on deep association rules
Currently, the static configuration data checking of the safety critical system is realized by the existing constraint rules which generated from the...
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Association Analysis: Basic Concepts and Algorithms
In 1993, Agrawal et al. pioneered the theory of mining association rules from large database, which is used to identify interesting links between...
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Post–mining on Association Rule Bases
Association rule mining identifies potentially unknown correlations between columns in a relational database and is therefore a central task in the...
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Enhanced Association Rules and Python
Association rules mining and apriori algorithm are very known tools of data mining since the 1990s. However, enhanced association rules were...
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Graph-Based Data Association in Multiple Object Tracking: A Survey
In Multiple Object Tracking (MOT), data association is a key component of the tracking-by-detection paradigm and endeavors to link a set of discrete...
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A Data Mining and Processing Method for E-Commerce Potential Customers Based on Apriori Association Rules Algorithm
In order to improve the effectiveness of e-commerce potential customer data mining and processing, a method based on Apriori association rule...
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An Alternative Approach to Mining Association Rules
An alternative approach to mining association rules is presented. It is based on representation of analysed data by suitable strings of bits. This...