Computational Intelligence in Data Mining - Volume 2
The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from da...
Đã lưu trong:
Những tác giả chính: | , , |
---|---|
Định dạng: | Sách |
Ngôn ngữ: | English |
Được phát hành: |
Springer
2015
|
Những chủ đề: | |
Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58520 |
Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
id |
oai:scholar.dlu.edu.vn:DLU123456789-58520 |
---|---|
record_format |
dspace |
spelling |
oai:scholar.dlu.edu.vn:DLU123456789-585202023-11-11T06:12:49Z Computational Intelligence in Data Mining - Volume 2 Jain, L.C Mandal, J.K Mohapatra, D.P The contributed Data Mining Ccomputational The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. 2015-09-25T03:34:01Z 2015-09-25T03:34:01Z 2015 Book 978-81-322-2208-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58520 en application/pdf Springer |
institution |
Thư viện Trường Đại học Đà Lạt |
collection |
Thư viện số |
language |
English |
topic |
The contributed Data Mining Ccomputational |
spellingShingle |
The contributed Data Mining Ccomputational Jain, L.C Mandal, J.K Mohapatra, D.P Computational Intelligence in Data Mining - Volume 2 |
description |
The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. |
format |
Book |
author |
Jain, L.C Mandal, J.K Mohapatra, D.P |
author_facet |
Jain, L.C Mandal, J.K Mohapatra, D.P |
author_sort |
Jain, L.C |
title |
Computational Intelligence in Data Mining - Volume 2 |
title_short |
Computational Intelligence in Data Mining - Volume 2 |
title_full |
Computational Intelligence in Data Mining - Volume 2 |
title_fullStr |
Computational Intelligence in Data Mining - Volume 2 |
title_full_unstemmed |
Computational Intelligence in Data Mining - Volume 2 |
title_sort |
computational intelligence in data mining - volume 2 |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58520 |
_version_ |
1819813022098522112 |