Anonymous Microsoft Web Data
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Anonymous Microsoft Web Data

Donated Oct 31, 1998 Computer Science Creative Commons Attribution 4.0 International

Abstract

Log of anonymous users of www.microsoft.com; predict areas of the web site a user visited based on data on other areas the user visited.

Instances
37,711
Features
294
Missing Values
No

Purpose

Additional Information We created the data by sampling and processing the www.microsoft.com logs. The data records the use of www.microsoft.com by 38000 anonymous, randomly-selected users. For each user, the data lists all the areas of the web site (Vroots) that user visited in a one week timeframe. Users are identified only by a sequential number, for example, User #14988, User #14989, etc. The file contains no personally identifiable information. The 294 Vroots are identified by their title (e.g. "NetShow for PowerPoint") and URL (e.g. "/stream"). The data comes from one week in February, 1998.

anonymous-msweb.data

DATA 1,433.60 KB • Documentation

anonymous-msweb.test

TEST 223.20 KB • Documentation

anonymous-msweb.info

INFO 3.60 KB • Documentation

Papers Citing this Dataset

8 papers found

A one‐step method for modelling longitudinal data with differential equations

By Yueqin Hu, Raymond Treinen.

The British journal of mathematical and statistical psychology. 2019 87

A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training

By Mehmet Hacibeyoglu, Mohammed Ibrahim.

Scientific Programming. 2018 87

Genetic Algorithm with an Improved Initial Population Technique for Automatic Clustering of Low-Dimensional Data

By Xiangbing Zhou, Fang Miao, Hongjiang Ma.

Information. 2018 87

Robust auto-weighted multi-view subspace clustering with common subspace representation matrix

By Wenzhang Zhuge, Chenping Hou, Yuanyuan Jiao, Jia Yue, Hong Tao, Dongyun Yi.

PloS one. 2017 87

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference

By Tianyu Wang, Marco Morucci, M. Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky.

ArXiv 2017 87
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