№ files_lp_3_process_7_056355
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Exam review sheet listing conceptual and computational questions with sample answers covering core data mining algorithms, statistical methods, and evaluation metrics for a university-level course assessment.
Date:
May 3, 2016
Course:
COSC 4355
Subject:
Data Mining
Topics Covered:
Association Rule Mining, Outlier Detection, Classification, Preprocessing, PageRank
Document Type:
Exam Review
Institution:
Not specified
Intended Audience:
Students enrolled in COSC 4355
Question Format:
Short-answer and problem-solving questions with point allocations
Algorithms Mentioned:
APRIORI, Support Vector Machine, k-Nearest Neighbor, Decision Tree Induction, PageRank
Evaluation Measures:
Support, Confidence, Lift, GINI, Gain Ratio, Information Gain
Source Type:
Educational course material
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Region / city:
Stanford University
Subject:
Artificial Intelligence, Machine Learning
Document Type:
Problem Set
Author:
Christoph F. Eick, Raunak Sarbajna, Md/Mahin
Target Audience:
Students of COSC 4368
Period of Action:
Spring 2024
Submission Deadline:
November 21, 11:59p
Responsible TA:
Farzana Yasmin
Last Updated:
September 2, 8a
Task Weight:
20% of the Problem Set Points
Dataset:
Stanford Cars
Note:
Learning Objectives
Year:
2026
Note:
Region / City
Subject:
Data Science / Group Project
Document Type:
Academic Assignment
Author:
Janet Anagli, Christoph F. Eick
Target Audience:
Students
Date of Changes:
Feb. 12, 2026
Deadline:
March 29, 2026
Year:
2013
Course:
COSC 6342 Machine Learning
Type of Document:
Exam
Format:
Open book, no computers allowed
Duration:
120 minutes
Weight toward grade:
33%
Problems:
9
Topics:
Information Gain, Ensemble Methods, Reinforcement Learning, Belief Networks, Kernel Methods, Support Vector Machines, K-means, Non-parametric Density Estimation
Target Audience:
Graduate students in computer science
Instructor / Institution:
Not specified
Course:
COSC 4335
Institution:
University-level computer science course
Instructor:
Dr. Eick
Document Type:
Course assignment
Subject Area:
Data Mining and Clustering Algorithms
Algorithms Covered:
K-means, DBSCAN
Programming Language:
R
Datasets:
Complex8 dataset; HAbalone dataset (modified Abalone dataset)
Original Dataset Source:
UCI Machine Learning Repository Abalone Dataset
Project Type:
Individual project
Learning Objectives:
Clustering analysis, interpretation of clustering results, R function development, unsupervised data mining analysis, use of background knowledge in data mining
Assignment Tasks:
Dataset transformation; implementation of purity evaluation function; clustering analysis with K-means and DBSCAN
Submission Deadline:
March 18, 2015, 11p (early submission bonus)
Final Deadline:
March 24, 2015, 11p
Document Version:
Fourth Draft
Last Updated:
Feb. 16, 2015, 2:30p
Year:
2017
Region / City:
United States
Topic:
Neurologic Physical Therapy, Certification
Document Type:
Resource List
Institution:
American Board of Physical Therapy Specialties (ABPTS)
Author:
NCS Committee
Target Audience:
Physical Therapists preparing for NCS Exam
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2024
Region / City:
Not specified
Topic:
Professional designation examination
Document Type:
Examination paper
Organ / Institution:
PPRA
Author:
Not specified
Target Audience:
Candidates sitting for the professional designation examination
Period of Validity:
February 2024
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
Topic:
University examinations, extensions, and excusals
Document type:
Student guide
Institution:
University of Oxford
Target audience:
University students
Year:
2011
Region / City:
Virginia
Subject:
Law
Document Type:
Legal Analysis
Institution:
William & Mary Law School, University of Richmond Law School, George Mason University Law School, Regent University Law School
Author:
Susan S. Grover, Eric Chason, J. R. Zepkin, Emmeline P. Reeves, Peter Swisher, Robert W. Wooldridge, Jr., Benjamin V. Madison, 3rd
Target Audience:
Law students, legal professionals
Period of Validity:
February 2011
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2008
Region / City:
Georgia, USA
Topic:
Education, History
Document Type:
Guideline
Institution:
Georgia Highlands College
Author:
James Cobb
Target Audience:
Students at Georgia Highlands College
Period of Action:
Ongoing
Approval Date:
Not specified
Date of Amendments:
Not specified
Subject:
Biology
Document type:
Study guidance notes
Intended audience:
Students
Educational context:
Biology examinations
Related assessment:
HSC Biology
Purpose:
Guidance on interpreting and responding to exam questions
Source context:
School-provided support material
Year:
2023
Region / City:
Global
Topic:
Coaching, ICF Credentialing
Document Type:
Exam Format
Organization:
International Coach Federation (ICF)
Author:
International Coach Federation (ICF)
Target Audience:
Coaching professionals pursuing ICF certification
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2022-2023
Region / City:
Las Vegas, USA
Field:
Education
Document Type:
Plan of Study
Organization / Institution:
UNLV Graduate College
Author:
UNLV
Target Audience:
Graduate students in Electrical Engineering
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2021
Region / City:
Austin, Texas
Topic:
Animal Shelter Operations, Predictive Analytics
Document Type:
Project Statement
Organization:
XYZ Actuarial Consulting Firm
Author:
B (Fellow of the Society of Actuaries)
Target Audience:
Candidates taking the exam
Period of Validity:
December 14, 2021
Approval Date:
December 14, 2021
Date of Changes:
N/A
Note:
Contextual description
Year:
2026
Region / City:
NSW, Australia
Topic:
Education, Exam Preparation
Document Type:
Educational Resource
Institution:
NSW Education Standards Authority
Author:
Not specified
Target Audience:
HSC students studying PDHPE
Effective Period:
Not specified
Approval Date:
Not specified
Revision Date:
Not specified
Document type:
Fact sheet
Jurisdiction:
North Carolina
Legal basis:
NCGS 122C-263(c); NCGS 122C-283(c); NCGS 122C-263.1
Subject matter:
Involuntary commitment examinations
Effective date:
October 1, 2019
Revision date:
July 20, 2020
Issuing authority:
DMH/DD/SAS
Applicable forms:
First Examination for Involuntary Commitment; 24 Hour Facility Exam for Involuntary Commitment
Eligible examiners:
Physician; eligible psychologist; certified health or mental health professional; Commitment Examiner
Evaluation methods:
In-person; telemedicine (First Examination only)
Facility type:
IVC-designated mental health or substance use treatment facilities
Audience:
Certified Commitment Examiners and qualified medical professionals
Institution:
Merchant Marine Academy of Macedonia
School:
School of Engineers
Course:
Maritime English
Academic year:
2019–2020
Exam period:
September
Date:
16/09/2020
Document type:
Examination paper
Assessment type:
Final exam
Instructors:
A. Birbili; M. Tsompanoglou
Level:
Higher maritime education
Semester:
E΄
Topics:
Marine engineering vocabulary; vibration; engine operation; safety; fire in engine room; scavenging; machinery logs
Language:
English
Source note:
Retrieved excerpt dated 09 September 2015 from British Marine (included reading text)
Year:
2019
Region / City:
N/A
Subject:
Exam Auditing, Functional Skills Qualifications
Document Type:
Manual
Organization / Institution:
City & Guilds
Author:
N/A
Target Audience:
Exam Auditors, Centres, Quality Assurance Teams
Validity Period:
N/A
Approval Date:
N/A
Amendment Date:
N/A
Year:
{Program Year}
Region / city:
{County} County
Topic:
Field exam, infrastructure planning
Document type:
Field Exam Report
Organization / institution:
{District #}
Author:
{Field Exam Engineer} or {Design Project Engineer} or {Consultant}
Target audience:
Project stakeholders, district engineers
Period of validity:
{Program Year}
Approval date:
{Date}
Date of amendments:
{Date changes}