ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "256d52b2-e986-4446-b7e3-926c91d3b37b"}, "_deposit": {"id": "374", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "374"}, "status": "published"}, "_oai": {"id": "oai:repository.nii.ac.jp:00000374", "sets": ["136"]}, "author_link": [], "control_number": "374", "item_5_biblio_info_30": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2003-01-09", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "8", "bibliographicPageStart": "1", "bibliographic_titles": [{"bibliographic_title": "NIIテクニカル・レポート", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "NII Technical Report", "bibliographic_titleLang": "en"}]}]}, "item_5_description_28": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "In this report we present the results of evaluating the speed of text mining experiments using the OpenMosix cluster software. Our primary purpose is to develop a computational environment where the time taken to perform compute intensive experiments over a large range of parameter settings is minimized. This will lead to clearer analysis of algorithms and ultimately to a better choice of models based on empirical results. Results are shown that characterize each of the cluster components and also show the speedup in performance over compute nodes.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_5_identifier_registration": {"attribute_name": "ID登録", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.20736/0000000374", "subitem_identifier_reg_type": "JaLC"}]}, "item_5_publisher_31": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "国立情報学研究所", "subitem_publisher_language": "ja"}]}, "item_5_source_id_32": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1346-5597", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Collier, Nigel", "creatorNameLang": "en"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2015-08-26"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "03-001E.pdf", "filesize": [{"value": "181.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 181200.0, "url": {"label": "NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining", "url": "https://repository.nii.ac.jp/record/374/files/03-001E.pdf"}, "version_id": "e3e9bf75-62fd-47f2-8788-b9fc9218aa4a"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "テクニカルレポート", "subitem_subject_language": "ja", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Technical Report", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "departmental bulletin paper", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining", "subitem_title_language": "en"}]}, "item_type_id": "5", "owner": "1", "path": ["136"], "permalink_uri": "https://doi.org/10.20736/0000000374", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2003-01-09"}, "publish_date": "2003-01-09", "publish_status": "0", "recid": "374", "relation": {}, "relation_version_is_last": true, "title": ["NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining"], "weko_shared_id": -1}
  1. NIIテクニカル・レポート

NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining

https://doi.org/10.20736/0000000374
https://doi.org/10.20736/0000000374
60c6823b-546d-4154-b989-d742f1c3bc86
名前 / ファイル ライセンス アクション
03-001E.pdf NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining (181.2 kB)
Item type レポート / Report(1)
公開日 2003-01-09
タイトル
言語 en
タイトル NII Technical Report (NII-2003-001E):Evaluation of Enigma: an Open Mosix Cluster for Text Mining
言語
言語 eng
キーワード
言語 ja
主題Scheme Other
主題 テクニカルレポート
キーワード
言語 en
主題Scheme Other
主題 Technical Report
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
ID登録
ID登録 10.20736/0000000374
ID登録タイプ JaLC
著者 Collier, Nigel

× Collier, Nigel

en Collier, Nigel

Search repository
抄録
内容記述タイプ Abstract
内容記述 In this report we present the results of evaluating the speed of text mining experiments using the OpenMosix cluster software. Our primary purpose is to develop a computational environment where the time taken to perform compute intensive experiments over a large range of parameter settings is minimized. This will lead to clearer analysis of algorithms and ultimately to a better choice of models based on empirical results. Results are shown that characterize each of the cluster components and also show the speedup in performance over compute nodes.
言語 en
書誌情報 ja : NIIテクニカル・レポート
en : NII Technical Report

p. 1-8, 発行日 2003-01-09
出版者
言語 ja
出版者 国立情報学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-5597
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 06:16:25.149997
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3