語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Classification methods for internet ...
~
Holena, Martin.
Classification methods for internet applications
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Classification methods for internet applicationsby Martin Holena, Petr Pulc, Martin Kopp.
作者:
Holena, Martin.
其他作者:
Pulc, Petr.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xii, 281 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Information filtering systems.
電子資源:
https://doi.org/10.1007/978-3-030-36962-0
ISBN:
9783030369620$q(electronic bk.)
Classification methods for internet applications
Holena, Martin.
Classification methods for internet applications
[electronic resource] /by Martin Holena, Petr Pulc, Martin Kopp. - Cham :Springer International Publishing :2020. - xii, 281 p. :ill., digital ;24 cm. - Studies in big data,v.692197-6503 ;. - Studies in big data ;v.1..
Important Internet Applications of Classification -- Basic Concepts Concerning Classification -- Some Frequently Used Classification Methods -- Aiming at Predictive Accuracy -- Aiming at Comprehensibility -- A Team Is Superior to an Individual.
This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike.
ISBN: 9783030369620$q(electronic bk.)
Standard No.: 10.1007/978-3-030-36962-0doiSubjects--Topical Terms:
860944
Information filtering systems.
LC Class. No.: QA76.9.I58 / H654 2020
Dewey Class. No.: 005.56
Classification methods for internet applications
LDR
:02238nmm a2200337 a 4500
001
573603
003
DE-He213
005
20200623135424.0
006
m d
007
cr nn 008maaau
008
200928s2020 sz s 0 eng d
020
$a
9783030369620$q(electronic bk.)
020
$a
9783030369613$q(paper)
024
7
$a
10.1007/978-3-030-36962-0
$2
doi
035
$a
978-3-030-36962-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.I58
$b
H654 2020
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
005.56
$2
23
090
$a
QA76.9.I58
$b
H729 2020
100
1
$a
Holena, Martin.
$3
860941
245
1 0
$a
Classification methods for internet applications
$h
[electronic resource] /
$c
by Martin Holena, Petr Pulc, Martin Kopp.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xii, 281 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in big data,
$x
2197-6503 ;
$v
v.69
505
0
$a
Important Internet Applications of Classification -- Basic Concepts Concerning Classification -- Some Frequently Used Classification Methods -- Aiming at Predictive Accuracy -- Aiming at Comprehensibility -- A Team Is Superior to an Individual.
520
$a
This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike.
650
0
$a
Information filtering systems.
$3
860944
650
0
$a
Classification rule mining.
$3
758188
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Probability and Statistics in Computer Science.
$3
274053
650
2 4
$a
Pattern Recognition.
$3
273706
700
1
$a
Pulc, Petr.
$3
860942
700
1
$a
Kopp, Martin.
$3
860943
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in big data ;
$v
v.1.
$3
675357
856
4 0
$u
https://doi.org/10.1007/978-3-030-36962-0
950
$a
Intelligent Technologies and Robotics (Springer-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000179963
電子館藏
1圖書
電子書
EB QA76.9.I58 H729 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-36962-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入