Temporal aggregation - PowerPoint PPT Presentation


Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation

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

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Deep Reinforcement Learning for Mobile App Prediction

This research focuses on a system, known as ATPP, based on deep marked temporal point processes, designed for predicting mobile app usage patterns. By leveraging deep reinforcement learning frameworks and context-aware modules, the system aims to predict the next app a user will open, along with its

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Understanding Temporal Data Management in TSQL Queries

Explore the realm of temporal data in TSQL queries, delving into the concepts of valid time and transaction time, different types of relations like snapshot and bi-temporal, and the significance of time dimensions in database management. Learn how temporal databases support time-related queries for

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Localised Adaptive Spatial-Temporal Graph Neural Network

This paper introduces the Localised Adaptive Spatial-Temporal Graph Neural Network model, focusing on the importance of spatial-temporal data modeling in graph structures. The challenges of balancing spatial and temporal dependencies for accurate inference are addressed, along with the use of distri

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Database Normalization and Aggregation Concepts

Understanding the advantages and disadvantages of database normalization, the concept of aggregation in the ER model, and examples of creating ER diagrams using aggregation rules with related entities. Explore the benefits of smaller databases and better performance through normalization, and how ag

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Understanding the Spatial and Temporal Distribution of Temperature

The spatial and temporal distribution of temperatures plays a crucial role in determining weather patterns, climates, vegetation zones, and wildlife habitats. Factors such as latitude, altitude, distance from the coast, and prevailing winds influence the distribution of temperature both horizontally

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Modeling of Serials in IFLA LRM Module 12 by PCC

Serials in library cataloging are modeled as complex constructs in IFLA LRM with considerations for whole/part and aggregation relationships. This module explores the intricacies of serial manifestations, issue manifestations, and the concept of WEM lock, providing insights into collocating closely-

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Behavioral Data Analysis During Saccadic Eye Movement Task

Visual systems utilize saccades to focus on objects, impacting temporal perception. This study explores the effects of saccades and stimulus location on perceived time, presenting findings from an experiment on temporal perception mapping with fixed visual duration. The method of psychometric functi

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Implications of Large-size RU Aggregation on RTS/CTS in IEEE 802.11-17

Addressing implications of large-size RU aggregation on RTS/CTS in IEEE 802.11-17, focusing on the signaling of Enhanced High Throughput Format PPDU Bandwidth and puncturing in RTS/CTS frames. Proposing the use of HE MU-RTS Trigger frame to elicit CTS response from STAs, along with different CTS for

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Understanding Price Index Formulas and Aggregation Methods

Exploring the significance of price index formulas and aggregation methods in economic analysis. Learn about simple and weighted aggregate indices, elementary index calculations, and why aggregation methods are essential for computing price changes accurately.

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Privacy-Preserving Prediction and Learning in Machine Learning Research

Explore the concepts of privacy-preserving prediction and learning in machine learning research, including differential privacy, trade-offs, prediction APIs, membership inference attacks, label aggregation, classification via aggregation, and prediction stability. The content delves into the challen

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Mortality Aggregation Examples at NAIC National Meeting

In August 2019, key concepts for mortality aggregation were discussed at the NAIC National Meeting. The examples presented covered approaches under VM-20 language, emphasizing the importance of informed mortality segment assumptions through credible aggregation methods.

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Discussion on Temporal Entities and Simultaneity in CIDOC CRM Meeting

Temporal entities and the modeling of simultaneity in CIDOC CRM are under discussion at the upcoming meeting. The current approach considers the cardinality of certain relations, aiming to streamline the representation of time-spans and spacetime volumes. The evolving perspectives on the spatial com

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Understanding Temporal and Spatial Information Models

This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

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Agreements on FR2 Inter-Band Carrier Aggregation Requirements

Agreements have been reached on the RRM requirements and scaling factors for FR2 inter-band Carrier Aggregation, focusing on common beam and independent beam management. Discussions include alignment with Release 16 specifications, scenarios, and RF architectures. Interruption requirements for diffe

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SYNERGY Reference Model for Data Provision and Aggregation

The SYNERGY Reference Model, developed by a team of respected contributors, outlines strategies for effective data provision and aggregation. Led by renowned experts from FORTH, the model offers valuable insights for enhancing research practices and data management processes.

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Understanding Advanced Concepts in Temporal Point Processes for Human-Centered Machine Learning

Explore advanced concepts in temporal point processes through the lens of human-centered machine learning. Topics include marked temporal point processes, independent identically distributed marks, dependent marks, and mutually exciting marks. Learn about stochastic dynamical systems such as the Sus

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Wander Join: Online Aggregation via Random Walks in Database Workloads

Wander Join is a technique for online aggregation using random walks, addressing challenges in efficiency and correctness in both transactional and analytical database workloads. It allows for complex analytical queries such as TPC-H queries and provides insights into revenue loss due to returned or

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Temporal Coordination of Measurement in Data Centers

Measurement plays a crucial role in data centers for fault diagnosis, traffic engineering, and attack detection. This study focuses on the concept of temporal coordination of measurement to overcome issues like reporting overhead and resource wastage. Various examples illustrate the importance of co

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DER Aggregation in Monitoring and Control Operations

In the realm of energy grid operations, DER aggregation plays a crucial role from both short and long-term perspectives, focusing on transactive energy and autonomous devices. Communication and coordination are key for successful monitoring and control, with a need for a common framework supporting

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Exploring the Paradoxes of Time Travel

Delve into the intriguing concepts surrounding temporal parts, paradoxes of time travel, the relationship between time and change, the impossibility of changing the past, and the arguments presented by David Lewis on the logical constraints of time travel. Discover the complexities of time perceptio

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Secure Outsourced Aggregation via One-way Chains - Research Overview

Exploring secure outsourced aggregation techniques using one-way chains for wide-area shared sensing and weather monitoring. The unique characteristics, challenges, and solutions for dealing with malicious aggregators are discussed. The research presents the contributions and advancements in optimiz

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Epochwise Back Propagation Through Time for Recurrent Networks

In the context of training recurrent networks, Epochwise Back Propagation Through Time involves dividing the data set into independent epochs, each representing a specific temporal pattern of interest. The start time of each epoch, denoted by 'no', is crucial for capturing the sequential dependencie

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Understanding Temporal Variability of Ecosystem Processes across Land and Ocean

This content delves into the broad-scale and cross-scale ecosystem processes on land and in the ocean, exploring their temporal variations influenced by underlying structures, biodiversity, and climate. It emphasizes the importance of considering structure, function, and climate response simultaneou

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IEEE 802.11-24/0386r0 Lower MAC Relay Protocol Details

Detailed discussion on supporting the relay protocol in IEEE 802.11bn, covering relay addressing, end-to-end BA, relay TXOP protection, beacon forwarding, security processing, non-UHR STA support, sounding procedure, A-MPDU aggregation, de-aggregation, and more. The relay operation involves relay de

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Examining Reparations for Historic Enslavement: Inter-temporal Challenges

The Law & Race Speaker Series on applying past laws to ongoing wrongs explores the complexities of seeking reparations for historic enslavement. The discussion delves into the inter-temporal considerations, touching on reparation claims by CARICOM, the impact of transatlantic chattel slavery on glob

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Understanding SQL Aggregation and Grouping in Database Systems

SQL offers powerful aggregation functions like SUM, AVG, COUNT, MIN, and MAX to perform calculations on column data efficiently. By utilizing DISTINCT and GROUP BY clauses, you can manipulate and organize your data effectively in database systems while handling NULL values appropriately.

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Understanding the Difference Between Aggregation and Composition in Object-Oriented Programming

Aggregation and Composition are two important concepts in object-oriented programming. Aggregation refers to a 'has-a' relationship where the contained object can survive independently, while Composition indicates that the member object is part of the containing class and cannot exist separately. Th

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Manchester Township Community Energy Aggregation Program Overview

The Manchester Township Community Energy Aggregation Program, implemented under GEA and BPU rules, allows residents to pool together for better energy prices. The program involves a competitive bid process, with the contract awarded to TriEagle Energy. Residents benefit from reduced energy costs, co

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3GPP TSG-RAN4 Meeting #97e Summary

During the 3GPP TSG-RAN4 Meeting #97e, discussions on Multi-RAT Dual Connectivity and Carrier Aggregation enhancements were held. A Work Item (WF) focusing on Idle mode Carrier Aggregation (CA) measurement Radio Resource Management (RRM) requirements was addressed. The meeting included topics such a

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Constructing Price Index: General Procedure and Aggregation

The process of constructing a price index involves various steps such as computation of price relatives, aggregation at different levels, selection of base period, and designing data collection methods. Weighted arithmetic mean and simple ratio calculations are used in aggregating price indices. A t

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Real-time Monitoring in Dynamic Sensor Networks: LiMoSense Study

This study delves into LiMoSense, a live monitoring approach for dynamic sensor networks, exploring challenges such as correctness, convergence, and dynamic behavior. The research focuses on sensors' communication, aggregation of read values, and the use of bidirectional and unidirectional communica

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IEEE 802.11-19/0773r0 Multi-link Operation Framework Summary

The document discusses the multi-link operation framework for IEEE 802.11-19/0773r0, focusing on load balancing and aggregation use cases. It introduces terminology related to multi-link logical entities and provides examples of multi-link AP and non-AP logical entities. The framework considers stee

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Advancing Scholarly Research Through Data Aggregation and Infrastructure Services

Enabling the creation of new scientific knowledge and discoveries, data aggregation platforms like CORE play a pivotal role in connecting repositories and facilitating structured data harvesting. These platforms contribute to the knowledge graph, support text and data mining, and offer valuable serv

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Activities, Sectors, and Control Technologies in GAINS Research

The GAINS research by Janusz Cofala and Zbigniew Klimont focuses on aggregation criteria for emission sources, macroeconomic parameters such as population and GDP, aggregation of energy-related sources, transport sources, and process sources. It also covers specific VOC processes/sources like solven

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Overview of Temporal Data Models and Time Dimensions in Databases

Explore the concepts of temporal data models and time dimensions in databases, covering topics such as data structures, query languages, different timestamp types, valid time, and transaction time. Learn about the importance of supporting various time aspects in database systems and the complexities

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SQL Aggregation and Group By: Understanding Concepts and Examples

Exploring SQL aggregation operations such as AVG, COUNT, and more, along with the GROUP BY clause for grouping data based on specific attributes. Examples illustrate how to use these features effectively in SQL queries to retrieve meaningful insights from databases.

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Overview of Link Aggregation Simulator

This presentation provides an overview of a Link Aggregation Simulator designed to demonstrate and test LACP and DRCP operation. It guides users through creating devices, adding components, including link aggregation, and scheduling events. The simulator allows for testing of network components and

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Distribution Algorithms in Link Aggregation Groups

In the context of IEEE 802.1ax standard, the distribution algorithms for Link Aggregation Control Protocol (LACP) are explained. The standard allows for flexibility in choosing distribution algorithms, with version 2 enabling explicit coordination. The problem of per-Aggregator distribution algorith

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Publicly Verifiable Grouped Aggregation Queries on Outsourced Data Streams

Explore the challenges and solutions for publicly verifiable grouped aggregation queries on outsourced data streams, focusing on security, verification, and cloud computing. The research discusses how to handle large amounts of data using small memory components and emphasizes the importance of data

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