3D printed bionic prosthetic hands
J Koprnický, P Najman, J Šafka - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This article deals with upper limb prosthetic made by 3D printing technology. For tests and
analysis the number of open-source bionic hands (eNable and exiii's HACKberry projects) …
analysis the number of open-source bionic hands (eNable and exiii's HACKberry projects) …
An integration of WordNet and fuzzy association rule mining for multi-label document clustering
CL Chen, FSC Tseng, T Liang - Data & Knowledge Engineering, 2010 - Elsevier
With the rapid growth of text documents, document clustering has become one of the main
techniques for organizing large amount of documents into a small number of meaningful …
techniques for organizing large amount of documents into a small number of meaningful …
Towards an error-free Arabic stemming
ET Al-Shammari, J Lin - Proceedings of the 2nd ACM workshop on …, 2008 - dl.acm.org
Stemming is a computational process for reducing words to their roots (or stems). It can be
classified as a recall-enhancing or precision-enhancing component. Existing Arabic …
classified as a recall-enhancing or precision-enhancing component. Existing Arabic …
Document clustering with semantic analysis
Y Wang, J Hodges - Proceedings of the 39th Annual Hawaii …, 2006 - ieeexplore.ieee.org
Document clustering generates clusters from the whole document collection automatically
and is used in many fields, including data mining and information retrieval. In the traditional …
and is used in many fields, including data mining and information retrieval. In the traditional …
Review on recent developments in frequent itemset based document clustering, its research trends and applications
DS Rajput - … Journal of Data Analysis Techniques and …, 2019 - inderscienceonline.com
The document data is growing at an exponential rate. It is heterogeneous, dynamic and
highly unstructured in nature. These characteristics of document data pose new challenges …
highly unstructured in nature. These characteristics of document data pose new challenges …
Automatic construction of classification dimensions by clustering texts based on common words
B Ma, H Zhuge - Expert Systems with Applications, 2024 - Elsevier
A way to efficiently manage large sets of texts is to construct multiple dimensions on texts
and manage the texts from the dimensions. The key problem is to use a suitable …
and manage the texts from the dimensions. The key problem is to use a suitable …
A modified fuzzy art for soft document clustering
R Kondadadi, R Kozma - … on Neural Networks. IJCNN'02 (Cat …, 2002 - ieeexplore.ieee.org
Document clustering is a very useful application in recent days especially with the advent of
the World Wide Web. Most of the existing document clustering algorithms either produce …
the World Wide Web. Most of the existing document clustering algorithms either produce …
Graph and centroid-based word clustering
With the recent exponential growth of text documents, a word clustering algorithm is an
essential approach for making a reduction in a huge amount of text data and unsupervised …
essential approach for making a reduction in a huge amount of text data and unsupervised …
Improving search results with data mining in a thematic search engine
The problem of obtaining relevant results in web searching has been tackled with several
approaches. Although very effective techniques are currently used by the most popular …
approaches. Although very effective techniques are currently used by the most popular …
[PDF][PDF] Comparison of hierarchical agglomerative algorithms for clustering medical documents
FH Saad, OIE Mohamed, RE Al-Qutaish - International Journal of Software …, 2012 - Citeseer
Extensive amount of data stored in medical documents require developing methods that
help users to find what they are looking for effectively by organizing large amounts of …
help users to find what they are looking for effectively by organizing large amounts of …