Explore a novel approach for detecting credit card fraud using a semi-supervised attribute-driven graph representation. The technique leverages temporal aggregation and attention layers to automatically unify heterogeneous categorical attributes and detect fraudulent transactions without label leaka

1 views • 23 slides

In research design, variables play crucial roles as either dependent or independent factors, with extraneous variables potentially affecting study outcomes. Controlling for extraneous variables is essential to attribute effects solely to the independent variables. Research hypotheses aim to test pre

0 views • 6 slides

Explore the abundant tourism potential and favorable investment climate in Andhra Pradesh, with a focus on the state's proactive policies, incentives for investors, and top ranking in Ease of Doing Business. The Andhra Pradesh Tourism Policy 2020-2025 offers attractive terms for land allotment and s

0 views • 9 slides

Cora analysis involves extracting information from URLs to enhance SEO visibility. By leveraging Spearman & Pearson correlation algorithms, one can identify ranking factors. This analysis compares competitor data to improve SEO strategies. Recommendations may include optimizing H1 tag usage for bett

0 views • 58 slides

Ciphertext Policy Attribute Based Encryption (CPABE) is a method that links access policies with ciphertext, allowing decryption based on user attributes rather than specific keys. This enhances security and flexibility in data access control. The encryption system also addresses challenges in remot

0 views • 26 slides

In CS 589 Fall 2020, topics covered include probabilistic retrieval models, probability ranking principles, and rescaling methods like IDF and pivoted length normalization. The lecture also delves into random variables, Bayes rules, and maximum likelihood estimation. Quiz questions explore document

0 views • 53 slides

Explore the concepts of ordering and ranking in mathematics through examples and definitions. Learn about ascending and descending order, as well as different types of ranking such as standard competition ranking, ordinal ranking, and fractional ranking. Gain insights into how mathematical values ar

5 views • 24 slides

Job evaluation is essential in determining the value of a job within an organization, aiding in fair pay structures, employee selection, bonus calculations, and conflict resolution. However, it has disadvantages like inaccuracies, time consumption, and complexity. Steps involved include job analysis

3 views • 11 slides

Explore the NAESB Nomination Models used in the energy industry for ranking and comparisons. Learn about threaded and non-threaded pathed activities, as well as how ranks are applied to scheduling restrictions and balancing transactions. Discover the flexibility and dynamics of these models in manag

0 views • 10 slides

Attribute control charts are used in quality management to monitor the conformity of products or services based on specific characteristics. Unlike variable charts, attribute charts categorize items as conforming or non-conforming. This summary discusses the importance of attribute charts, focusing

0 views • 71 slides

Highlighting the process of ranking students served by Title I, Part A programs using objective selection criteria by core content area to determine academic need. The presentation focuses on flexible learning and assistance programs, including considerations for private schools and documentation re

0 views • 32 slides

Decision trees are a popular machine learning technique that maps attribute values to decisions. They involve tests that lead from the root to leaf nodes, with each internal node representing a test on an attribute. The use cases range from the restaurant waiting problem to boolean classification an

2 views • 21 slides

Decision trees are popular in machine learning for classification tasks. This content discusses the importance of attribute selection measures such as Information Gain, Gain Ratio, and Gini Index in constructing accurate decision trees. These measures help in selecting the most informative attribute

0 views • 16 slides

In the field of information retrieval, learning to rank involves optimizing ranking functions using various models like VSM, PageRank, and more. Parameter tuning is crucial for optimizing ranking performance, treated as an optimization problem. The ranking process is viewed as a learning problem whe

0 views • 12 slides

This workshop, led by Brian Frank, Director of Program Development at the Faculty of Engineering and Applied Science, focused on applying assessment principles to CEAB graduate attribute requirements and planning processes for program improvement. The session outcomes included using tools, technolog

0 views • 76 slides

Plan an interactive group activity to rank survival items after a disaster at sea. Work together to prioritize essential resources for survival and chart success with a Coast Guard ranking chart.

0 views • 7 slides

Exploring the importance and challenges of ranking sports teams, this content delves into various ranking methods, including statistical and mathematical approaches like the Colley Matrix, highlighting the complexities and iterative processes involved in determining team rankings.

0 views • 27 slides

Genetic algorithm (GA) is a powerful method for attribute selection in data mining as it efficiently explores numerous attribute combinations. By choosing the most important features and ignoring the rest, GA can enhance the data analysis process through methods like feature extraction and artificia

0 views • 41 slides

Indiana INDemand Jobs are determined based on future demand, percent change, wages, and real-time labor market data. The ranking methodology includes short-term and long-term projections, with a scoring system for each occupation. The Decile Ranking Method assigns scores from 1-10 in various categor

0 views • 14 slides

Explore the intricacies of retrieval models, ranking systems, and algorithms in the field of Intelligent Information Retrieval. Learn about the construction of indices, matching and scoring processes, distinguishing between exact-match and best-match retrieval, ranking algorithms like Boolean matchi

0 views • 36 slides

Probabilistic Information Retrieval plays a critical role in understanding user needs and matching them with relevant documents. This introduction explores the significance of using probabilities in Information Retrieval, focusing on topics such as classical probabilistic retrieval models, Okapi BM2

0 views • 27 slides

Combinatorial algorithms play a crucial role in computing subset and permutation rankings. These algorithms involve defining ranking functions, successor functions, lexicographic ordering on subsets, and permutation representations. The functions SUBSETLEXRANK and SUBSETLEXUNRANK are used for comput

0 views • 22 slides

Explore different indexes for evaluating city liveability, including The Economist Intelligence Unit's ranking and Mercer's Quality of Living Ranking. Discover the most liveable cities globally and delve into the important factors for cities according to the Youth Millennials Survey of 2016. Engage

0 views • 10 slides

Striving for excellence in all aspects of higher education, recognizing the value of diverse missions, and upholding the highly valued diversity of education systems are key themes emphasized in the Leuven Communiqués. Various transparency initiatives and tools such as THE Shanghai Ranking, CHE Uni

0 views • 11 slides

Design problems in software development can be identified based on non-compliance with design principles, excessive metric values, violations of design heuristics, and lack of design patterns. By assessing the urgency to resolve these problems using past code versions, a ranking mechanism can priori

0 views • 30 slides

The Massachusetts Board of Higher Education aims to enhance the state's leadership in higher education by prioritizing equity for under-represented student populations. While Massachusetts excels in education indicators overall, disparities by race/ethnicity and gender are evident, with white female

0 views • 21 slides

Vertical fragmentation in distributed information systems involves partitioning a relation into smaller fragments based on attributes and primary keys to improve application performance. Information requirements include attribute affinity and access frequencies, with examples of attribute usage and

0 views • 12 slides

The research paper discusses a unified framework focusing on efficiently processing ranking-related queries. It covers dual mapping and ranking, k-lower envelope usage in ranking, top-k queries solutions, and applications like identifying user preferences. The study showcases algorithms, experimenta

0 views • 22 slides

Nigerian Electricity Management Services Agency (NEMSA) provides safety rankings for Distribution Companies (DISCOs) and Transmission Company of Nigeria (TCN) in the power sector. The agency highlights major factors contributing to electrical accidents and emphasizes the importance of addressing iss

0 views • 9 slides

Amidst reports of Penn State University Libraries ranking among the top ten North American research libraries based on ARL's Library Investment Index Rankings, this presentation by Adam Siegel from UC Davis highlights key strategies to ensure continued relevance and success in ARL rankings. The impo

0 views • 17 slides

Today's focus in Information Retrieval is on efficiently scoring and ranking documents matching a query from an inverted index. The goal is to assign scores to each document and select the top K highest scoring ones. Cutting down CPU usage for scoring while maintaining result quality is essential. T

0 views • 18 slides

This content covers various structured design methods such as the V Model of Systems Engineering, Pugh Analysis, Weighted Objectives Method, and Ranking and Weighting Objectives. It also discusses the process of recognition, generation, evaluation, and optimization of design alternatives, along with

0 views • 15 slides

Nigerian Electricity Management Services Agency (NEMSA) released the safety ranking of Distribution Companies (DISCOs) and the Transmission Company of Nigeria (TCN) in the power sector for February 2023. The ranking highlights key factors contributing to electrical accidents and emphasizes the impor

0 views • 9 slides

The new BISFed World Ranking System 2017-2020 aims to determine the relative strength of athletes, pairs, or teams in classification events. It assists in event qualification, competition system development, and stakeholder engagement. The system involves point allocation, tier coefficients, and tot

0 views • 9 slides

Nigerian Electricity Management Services Agency (NEMSA) releases the safety rankings of DISCOs & TCN in the power sector for September 2022. The agency highlights factors contributing to electrical accidents, such as poor response to monitored networks, use of substandard materials, equipment failur

0 views • 9 slides

The Nigerian Electricity Management Services Agency (NEMSA) has released its safety ranking report for August 2022, highlighting key factors contributing to electrical accidents in the power sector. The report emphasizes the importance of addressing issues such as poor response to monitored networks

0 views • 9 slides

Towards entity-specific rankings of knowledge base properties, this research explores the problem of property ranking for entities based on their attributes and properties. Various applications in knowledge base curation and natural language generation are discussed, along with related work in entit

0 views • 26 slides

Decision trees are a popular machine learning algorithm for classification tasks. They consist of nodes representing conditions, branches indicating decisions, and leaves representing outcomes. By choosing the best attribute and splitting data recursively, decision trees can efficiently classify dat

0 views • 47 slides

Explore advanced concepts in association analysis, focusing on the handling of categorical attributes. Learn how to apply association analysis to non-asymmetric binary variables, including examples and potential solutions for skewed attribute value distributions. Discover techniques for managing att

0 views • 48 slides

Explore the advantages of structured data over unstructured data, learn about querying YAGO and DBpedia for specific classes, and discover challenges and strategies in text extraction and ranking within the DBpedia framework. The overview delves into web applications, ranking strategies, and user st

0 views • 20 slides