A novel method for spatial frequent items query based on concept lattice

2021 ◽  
Author(s):  
Aopeng Xu ◽  
Tao Xu ◽  
Xiaqing Ma ◽  
Zixiang Zhang
2012 ◽  
Vol 197 ◽  
pp. 283-291
Author(s):  
Jun Dong ◽  
Yu Jie Xie ◽  
Jia Dong Ren ◽  
Wei Wei Zhou

Closed repetitive gapped sequential pattern mining has been gained more and more attention in recent years, in this paper, we propose a novel method MRCGP(mining closed repetitive gapped sequential pattern based on repetition linked WAP-Tree). In the first step of MRCGP, the given sequential database is transformed into a new database in which every item is expressed by its landmark; then a positional information table(PIT) which includes all of the position information of 1-frequent items is constructed, all of the repetitive gapped 2-sequential patterns of different items (RPDI) can be obtained through searching the positional information table; following, a repetitive linked web access pattern tree (RLWAP-Tree) is built, in RLWAP-Tree, the 1-frequent items are stored as header table, the items in header table will be linked to their same items which appear earliest in each sequence corresponding to RLWAP-Tree with solid line, all of the items in RLWAP-Tree are linked to their same items in the same sequences with broken line; through mining projection tree of the existing repetitive gapped pattern recursively, we can obtain the repetitive gapped sequential pattern; at the end, we get the closed repetitive gapped sequential pattern by checking inclusion relation of any two patterns. The experiment result shows MRCGP has better time efficiency.


2013 ◽  
Vol 411-414 ◽  
pp. 589-592
Author(s):  
Hua Zhu Song ◽  
Xiao Xue Wang ◽  
Lu Xu ◽  
Fan Zhou

Ontology and semantic are very popular in Web, and the construction of Web dynamic ontology has been the problem urgent to be solved. Firstly, the basic framework for constructing Web dynamic ontology is shown. Next, the concept lattice is introduced, based on which the novel method of building Web dynamic ontology is given. It includes constructing the initial ontology, extracting web knowledge, generating the formal contexts, merging formal context, merging concept lattices with ontology-based similarity calculation, transforming the concept lattice to the ontology. At last, the stock information system is employed to verify the methods proposed. The results showed the stock ontology could be dynamically updated with the change from the Web, and we can get new inferred knowledge from the updated stock ontology by Racer; the method proposed is valid and feasible.


Author(s):  
Pedram Vahdani Amoli ◽  
Omid Sojoodi Sh.

<table border="1" cellspacing="0" cellpadding="0" width="593"><tbody><tr><td width="387" valign="top"><p>In this paper a novel method is proposed for scientific document clustering. The proposed method is a summarization-based hybrid algorithm which comprises a preprocessing phase. In the preprocessing phase unimportant words which are frequently used in the text are removed. This process reduces the amount of data for the clustering purpose. Furthermore frequent items cause overlapping between the clusters which leads to inefficiency of the cluster separation. After the preprocessing phase, Term Frequency/Inverse Document Frequency (TFIDF) is calculated for all words and stems over the document to score them in the document. Text summarization is performed then in the sentence level. Document clustering is finally done according to the scores of calculated TFIDF. The hybrid progress of the proposed scheme, from preprocessing phase to document clustering, gains a rapid and efficient clustering method which is evaluated by 400 English texts extracted from scientific databases of 11 different topics. The proposed method is compared with CSSA, SMTC and Max-Capture methods. The results demonstrate the proficiency of the proposed scheme in terms of computation time and efficiency using F-measure criterion.</p></td></tr></tbody></table>


Author(s):  
M.A. Gregory ◽  
G.P. Hadley

The insertion of implanted venous access systems for children undergoing prolonged courses of chemotherapy has become a common procedure in pediatric surgical oncology. While not permanently implanted, the devices are expected to remain functional until cure of the primary disease is assured. Despite careful patient selection and standardised insertion and access techniques, some devices fail. The most commonly encountered problems are colonisation of the device with bacteria and catheter occlusion. Both of these difficulties relate to the development of a biofilm within the port and catheter. The morphology and evolution of biofilms in indwelling vascular catheters is the subject of ongoing investigation. To date, however, such investigations have been confined to the examination of fragments of biofilm scraped or sonicated from sections of catheter. This report describes a novel method for the extraction of intact biofilms from indwelling catheters.15 children with Wilm’s tumour and who had received venous implants were studied. Catheters were removed because of infection (n=6) or electively at the end of chemotherapy.


GeroPsych ◽  
2012 ◽  
Vol 25 (4) ◽  
pp. 235-245 ◽  
Author(s):  
Katja Franke ◽  
Christian Gaser

We recently proposed a novel method that aggregates the multidimensional aging pattern across the brain to a single value. This method proved to provide stable and reliable estimates of brain aging – even across different scanners. While investigating longitudinal changes in BrainAGE in about 400 elderly subjects, we discovered that patients with Alzheimer’s disease and subjects who had converted to AD within 3 years showed accelerated brain atrophy by +6 years at baseline. An additional increase in BrainAGE accumulated to a score of about +9 years during follow-up. Accelerated brain aging was related to prospective cognitive decline and disease severity. In conclusion, the BrainAGE framework indicates discrepancies in brain aging and could thus serve as an indicator for cognitive functioning in the future.


2014 ◽  
Vol 62 (S 02) ◽  
Author(s):  
J. Photiadis ◽  
M. Musci ◽  
O. Miera ◽  
S. Ovroutski ◽  
A. Mekkawy ◽  
...  

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