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Amazon Access示例数据集

Amazon Access示例数据集

Scene:

Business

Data Type:

Regression
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Data Preview ? 11.7M

    Data Structure ?

    *数据结构实际以真实数据为准

    Dataset creator and donator: Ken Montanez email: kenmonta[at]cal.berkeley.edu institution: Information Security, Amazon Corp.

    Data Set Information:

    This is a sparse data set, less than 10% of the attributes are used for each sample. The link is to a '*.tgz' file which contains two files:
    [amzn-anon-access-samples-2.0.csv] this file contains the access for users
    [amzn-anon-access-samples-history-2.0.csv] this file contains the access history for a given user


    Attribute Information:

    __amzn-anon-access-samples-2.0.csv__
    This is a sparse data set containing users and their assigned access. The file contains 4 categories of attributes.
    1) [PERSON_{ATTRIBUTE}] This category describes the 'user' who was given access. The [PERSON_ID] column is the primary key column for the file. There is one row per user.
    PERSON_ID: id of the user
    PERSON_MGR_ID: id of the user's manager
    PERSON_ROLLUP_1: user grouping id
    PERSON_ROLLUP_2: user grouping id
    PERSON_ROLLUP_3: user grouping id
    PERSON_DEPTNAME: department desciption id
    PERSON_LOCATION: region id
    PERSON_BUSINESS_TITLE: title id
    PERSON_BUSINESS_TITLE_DETAIL: description id
    PERSON_JOB_CODE: job code id
    PERSON_COMPANY: company id
    PERSON_JOB_FAMILY: job family id

    2) [RESOURCE_{ID}] This category of attributes are the resources that a users can possibly have access to. A user will have a 1 in this column if the have access to it otherwise it will be 0.

    3) [GROUP_{ID}] - This category of attributes are the groups that a users can possibly have access to. A user will have a 1 in this column if the have access to it otherwise it will be 0.

    4) [SYSTEM_SUPPORT_{ID}] - This category of attributes are the system that a user can possibly be supporting. A user will have a 1 in this column if the have can possibly be supporting it, otherwise it will be 0.

    __amzn-anon-access-samples-history-2.0.csv__
    Permissions Time series data. Here is a short description of the columns:
    ACTION: either 'remove_access' or 'add_access'
    TARGET_NAME: either the {RESOURCE_ID} or {GROUP_ID}
    LOGIN: the id of the user that is obtaining or losing access
    REQUEST_DATE: YYYY-MM-DD HH:MM:SS
    AUTHORIZATION_DATE: YYYY-MM-DD HH:MM:SS


    Relevant Papers:

    N/A


    Citation Request:

    Please refer to the Machine Learning Repository's citation policy.

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