Books from historic library collections often require protective boxes which typically increase the required storage space. In some cases, extra storage space is unavailable and therefore good use of existing space is necessary. Deciding on the location of every boxed book on the available shelving is not an easy problem. Calculating the dimensions of the boxes when several hundreds or even thousands of books are considered is again time-consuming. Both of these problems are extremely difficult to solve manually. There are several techniques from the fields of statistics and computer science which can be used to assist with finding a solution. This paper investigates k-means clustering as a way to group books which can fit in a box of a spe...
as those of libraries that have almost reached their capacity are obvious. What has been belatedly r...
Abstract:- Document clustering is an automatic grouping of text documents into clusters. These docum...
Data mining is the process of finding interesting patterns and knowledge from large amounts of data....
Books from historic library collections often require protective boxes which typically increase the ...
The optimal storage of books by size in libraries is considered in this paper. It is shown that for ...
Purpose- The study formulates clusters of Library and Information (LIS) discipline books from Achary...
Data mining is the automated or convenient extraction of patterns representing knowledge implicitly ...
A taxonomic and alphabetic arrangement (TAA) of objects on shelves has prevailed in fluid-preserved ...
What can do one of the ways to increase student interest in reading by increasing the collection of ...
In the first part of the paper theoretical aspects are briefly discussed, followed by an equally bri...
faster than the building planners had expected. We never seem to learn from past experience that our...
Abstract: Clustering is the problem of discovering “meaningful ” groups in given data. The first and...
Document clustering is text processing that groups documents with similar concept. Clustering is def...
This study aims to develop an algorithm for placing goods on warehouse shelves. The process of placi...
Politeknik Negeri Balikpapan’s Library, annually adds to its collection of reading books. In order t...
as those of libraries that have almost reached their capacity are obvious. What has been belatedly r...
Abstract:- Document clustering is an automatic grouping of text documents into clusters. These docum...
Data mining is the process of finding interesting patterns and knowledge from large amounts of data....
Books from historic library collections often require protective boxes which typically increase the ...
The optimal storage of books by size in libraries is considered in this paper. It is shown that for ...
Purpose- The study formulates clusters of Library and Information (LIS) discipline books from Achary...
Data mining is the automated or convenient extraction of patterns representing knowledge implicitly ...
A taxonomic and alphabetic arrangement (TAA) of objects on shelves has prevailed in fluid-preserved ...
What can do one of the ways to increase student interest in reading by increasing the collection of ...
In the first part of the paper theoretical aspects are briefly discussed, followed by an equally bri...
faster than the building planners had expected. We never seem to learn from past experience that our...
Abstract: Clustering is the problem of discovering “meaningful ” groups in given data. The first and...
Document clustering is text processing that groups documents with similar concept. Clustering is def...
This study aims to develop an algorithm for placing goods on warehouse shelves. The process of placi...
Politeknik Negeri Balikpapan’s Library, annually adds to its collection of reading books. In order t...
as those of libraries that have almost reached their capacity are obvious. What has been belatedly r...
Abstract:- Document clustering is an automatic grouping of text documents into clusters. These docum...
Data mining is the process of finding interesting patterns and knowledge from large amounts of data....