1. Analysis of co-occurrence data with traditional indices has led to many problems such as sensitivity of the indices to prevalence and the same value representing either a strong positive or strong negative association across different datasets. In our recent study (...
A theoretical basis for the use of co-occurrence data in information retrievalVan Rijsbergen CJThis paper provides a foundation for a practical way of improving the effectiveness of an automatic retrieval system. Its main concern is with the weighting of index terms as a device for increasing ...
Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time Purnamrita Sarkar Sajid M. Siddiqi Geoffrey J. Gordon School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 psarkar@cs.cmu.edu siddiqi@cs.cmu.edu ggordon@cs.cmu.edu Abstract We address the ...
Therefore, it is important to develop methods to share clinical statistics derived from patient data without risking patient re-identification. One such method is the sharing of prevalence and co-occurrence statistics of medical events. Prevalence measures the population disease burden and can be ...
der Weijde, O., Frasincar, F., Dekker, R.: Supervised and unsu- pervised aspect category detection for sentiment analysis with co-occurrence data. IE... K Schouten,OVD Weijde,F Frasincar,... - 《IEEE Transactions on Cybernetics》 被引量: 5发表: 2018年 Supervised and Unsupervised Aspect...
(edges) + data = "{\"nodes\": [" + string_nodes + "], \"edges\":[" + string_edges + "]}" + #data = "{\"nodes\": [" + string_nodes + "]}" + #print(data) + print(G.nodes) + pos = bipartite_layout(G, G_arg) + #pos = nx.shell_layout(G) + fig = ...
inferred a global network of co-existing microbes across environments from 298,591 16S rRNA sequences from the Greengenes database and found that phylogenetically close taxa coexisted more frequently [14]. Recent advances of high-throughput sequencing provide an opportunity for predicting microbial co-...
(cor = cor, nodeGroup = gp)# 生成网络图布局,'PolygonClusterG'是该论文中的布局node = layout[[1]]# 提取节点tax_table = ps_net %>%vegan_tax() %>%as.data.frame()# node节点注释nodes = nodeadd(plotcord = node, o...
COHD was derived from Columbia University Irving Medical Center's Observational Health Data Sciences and Informatics (OHDSI) database. The lifetime dataset, derived from all records, contains 36,578 single concepts (11,952 conditions, 12,334 drugs, and 10,816 procedures) and 32,788,901 concept...
How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures In scientometric research, the use of co-occurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, th... NJ Van Eck,L Waltman - 《Social Science El...