Next generation of data mining : [drawn from the U.S. National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07) ; held in October, 2007 at Baltimore 🔍
Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar
Chapman and Hall/CRC, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 1, 2008
英语 [en] · PDF · 22.6MB · 2008 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/zlib · Save
描述
Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.
Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.
The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.
Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.
The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.
备用文件名
lgli/Kargupta H., Han J., Yu P.S., Motwani R., Kumar V. (eds.) Next Generation of Data Mining (CRC, 2008)(ISBN 1420085867).pdf
备用文件名
lgrsnf/Kargupta H., Han J., Yu P.S., Motwani R., Kumar V. (eds.) Next Generation of Data Mining (CRC, 2008)(ISBN 1420085867).pdf
备用文件名
zlib/Computers/Networking/Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar/Next generation of data mining_539789.pdf
备选标题
Next Generation of Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery)
备选作者
Jiawei Han; Hillol Kargupta; NGDM 07; NSF Next Generation of Data Mining Symposium; Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation
备用出版商
Technomic Publishing Co., Inc.
备用出版商
Taylor & Francis Group,LLC
备用出版商
CRC Press, Chapman & Hall
备用出版商
CRC Press LLC
备用版本
Chapman & Hall/CRC data mining and knowledge discovery series, Boca Raton, Fla, Florida, 2008
备用版本
Chapman & Hall/CRC data mining and knowledge discovery series, Boca Raton, Fla, ©2009
备用版本
CRC Press (Unlimited), Boca Raton, Fla, 2009
备用版本
United States, United States of America
元数据中的注释
1
元数据中的注释
lg111572
元数据中的注释
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元数据中的注释
Includes bibliographical references and index.
备用描述
"Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field." "Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms." "The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines."--Jacket
备用描述
Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), this work explores technologies and applications in data mining as well as potential challenges faced by the field
开源日期
2009-08-06
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0738fd86d861c6cc97fa20b31111097e
ISBN GRP ID.
ISBN GRP ID:
738fd86d861c6cc97fa20b31111097e
ISBN GRP ID.
ISBN GRP ID:
d8ff336c5dea2fc4192a97fea73ccda3
ISBN GRP ID.
LCC:
QA76.9.D343 N486 2008
Library of Congress Classification
LCC:
QA76.9.D343 N486 2009
Library of Congress Classification
LCC:
QA76.9.D343 N486 2009eb
Library of Congress Classification
Libgen.li File:
91233477
Global file ID in Libgen.li. Directly taken from the 'f_id' field in the 'files' table.
网站: /datasets/lgli
代码浏览器: 在代码浏览器中查看“lgli:91233477”
Libgen.li libgen_id:
111572
Repository ID for the 'libgen' repository in Libgen.li. Directly taken from the 'libgen_id' field in the 'files' table. Corresponds to the 'thousands folder' torrents.
网站: /datasets/lgli
Libgen.rs Non-Fiction:
111572
Repository ID for the non-fiction ('libgen') repository in Libgen.rs. Directly taken from the 'id' field in the 'updated' table. Corresponds to the 'thousands folder' torrents.
网站: /datasets/lgrs
代码浏览器: 在代码浏览器中查看“lgrsnf:111572”
Libgen.rs Non-Fiction Topic:
computers\\organization and data processing
Libgen’s own classification system of 'topics' for non-fiction books. Obtained from the 'topic' metadata field, using the 'topics' database table, which seems to have its roots in the Kolxo3 library that Libgen was originally based on. https://web.archive.org/web/20250303231041/https://wiki.mhut.org/content:bibliographic_data says that this field will be deprecated in favor of Dewey Decimal.
网站: /datasets/lgrs
Library Thing:
8138549
MD5:
51fa7460e05e1fe40f859df651288cb1
Nexus/STC:
5eh02nb6btywbl56oh8tvblbe
ID of an individual edition of a file in Nexus/STC.
OCLC 'From Filename':
2023_04_v3/2480/248060418
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/1069/106932323
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/1169/116932062
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/1285/1285580482
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/2526/252612823
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/4445/444596473
网站: /datasets/oclc
OCLC 'From Filename':
search_editions_response/1261813845
网站: /datasets/oclc
OCLC 'From Filename':
search_editions_response/212843873
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1026/1026095287
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1073/1073128490
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1114/1114501559
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1228/1228032246
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1259/1259197592
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1333/1333423222
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/4849/484918170
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/8547/854796897
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/9059/905930399
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/0265/26578608
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/0441/44182945
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/0468/46861197
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/0557/55736247
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/0596/59633532
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/1010/101027968
网站: /datasets/oclc
Open Library:
OL18349459W
代码浏览器: 在代码浏览器中查看“ol:OL18349459W”
Open Library:
OL22685358M
代码浏览器: 在代码浏览器中查看“ol:OL22685358M”
Open Library Source Record:
amazon:1420085867
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
bwb:9781420085860
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
ia:nextgenerationda00karg
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_columbia/Columbia-extract-20221130-031.mrc:61450736:5949
The code for a source record that Open Library imported from.
URL: https://openlibrary.org/show-records/marc_columbia/Columbia-extract-20221130-031.mrc:61450736:5949
网站: /datasets/ol
Open Library Source Record:
marc_loc_2016/BooksAll.2016.part35.utf8:154113423:3545
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_loc_updates/v36.i47.records.utf8:8317123:721
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_loc_updates/v37.i28.records.utf8:20324945:3545
The code for a source record that Open Library imported from.
网站: /datasets/ol
Server Path:
g4/libgenrs_nonfiction/libgenrs_nonfiction/111000/51fa7460e05e1fe40f859df651288cb1
Path on Anna’s Archive partner servers.
SHA-1:
f27yq3v2gar2hcebkciignvhlbg3qnln
SHA-256:
e577766d4eb154e5f41bbae54c0da7221359ec4a35481adbbf43d9dc86bb398b
Torrent:
external/libgen_rs_non_fic/r_111000.torrent
Bulk torrent for long-term preservation.
网站: /torrents
Z-Library:
539789
ID in Z-Library.
URL: https://z-lib.gd/
网站: /datasets/zlib
代码浏览器: 在代码浏览器中查看“zlib:539789”
Zlib Category ID:
192
Category ID on the Z-Library website.
Zlib Category Name:
Computers/Networking
Name for the zlib_category_id (category ID on the Z-Library website).
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外部下载
- Libgen.rs 非虚构文学板块
- Libgen.li (点击顶部的“GET”) 已知他们的广告包含恶意软件,因此请使用广告拦截器或不要点击广告
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- IPFS
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- Z-Library TOR (需要TOR浏览器)
- Z-Library
- Z-Library TOR (需要TOR浏览器)
- Sci-Hub: 10.1201/9781420085877 (相关 DOI 在Sci-Hub中可能不可用)
- 批量种子下载 (仅限专家) 馆藏 “libgen_rs_non_fic” → 种子 “r_111000.torrent” → file “51fa7460e05e1fe40f859df651288cb1”
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