User Group Profile Modeling Based on User Transactional Data for Personalized Systems

2005 ◽  
pp. 337-347 ◽  
Author(s):  
Yiling Yang ◽  
Nuno C. Marques
Keyword(s):  
User Group ◽  
Group Profile ◽  
Transactional Data ◽  
Profile Modeling

Pemanfaatan Metode K-Means Dalam Penentuan Persediaan Barang

2018 ◽  
Vol 6 (1) ◽  
pp. 41-48
Author(s):  
Santoso Setiawan
Keyword(s):  
Data Mining ◽  
Stock Management ◽  
Transaction Data ◽  
Business People ◽  
Cluster Data ◽  
Data Clusters ◽  
Inventory Strategy ◽  
Transactional Data

Abstract   Inaccurate stock management will lead to high and uneconomical storage costs, as there may be a void or surplus of certain products. This will certainly be very dangerous for all business people. The K-Means method is one of the techniques that can be used to assist in designing an effective inventory strategy by utilizing the sales transaction data that is already available in the company. The K-Means algorithm will group the products sold into several large transactional data clusters, so it is expected to help entrepreneurs in designing stock inventory strategies.   Keywords: inventory, k-means, product transaction data, rapidminer, data mining   Abstrak   Manajemen stok yang tidak akurat akan menyebabkan biaya penyimpanan yang tinggi dan tidak ekonomis, karena kemungkinan terjadinya kekosongan atau kelebihan produk tertentu. Hal ini sangat berbahaya bagi para pelaku bisnis. Metode K-Means adalah salah satu teknik yang dapat digunakan untuk membantu dalam merancang strategi persediaan yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan. Algoritma K-Means akan mengelompokkan produk yang dijual ke beberapa cluster data transaksi yang umumnya besar, sehingga diharapkan dapat membantu pengusaha dalam merancang strategi persediaan stok.   Kata kunci: data transaksi produk, k-means, persediaan, rapidminer, data mining.

Multimedia: Myths and Realities

2013 ◽  
Author(s):  
Andy Large ◽  
Jamshid Behesti ◽  
Alain Breuleux ◽  
Andre Renaud
Keyword(s):  
Educational Context ◽  
User Group ◽  
Information Industry ◽  
Primary School Students ◽  
School Students ◽  
Still Images ◽  
Information Product ◽  
Mcgill University ◽  
The Impact

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Multimedia products are now widely available on a variety of platforms, and there is a widespread assumption that the addition of still images, animation and sound to text will enhance any information product. The research reported in this paper investigates such claims for multimedia in an educational context and for a specific user group: grad-six primary school students. The students' ability to recall, make inferences from, and comprehend articles presented to them in print, as text on screen, and in mutlimedia format has been mesured. The findings to date suggest that the impact of multimedia is subtle, and that generalisations about the effectiveness of multimedia, at least with children in an educational context, should be employed cautionously. The long-term goal is to identify design criteria which can be employed in the production of multimedia products for schools.

DISTRIBUTED PROCESSING OF LARGE VOLUMES OF TRANSACTIONAL DATA

2020 ◽  
pp. 27-36
Author(s):  
O. Dmytriieva ◽  
◽  
D. Nikulin
Keyword(s):  
Distributed Processing ◽  
Apache Spark ◽  
Hadoop Mapreduce ◽  
Transactional Data

Роботу присвячено питанням розподіленої обробки транзакцій при проведенні аналізу великих обсягів даних з метою пошуку асоціативних правил. На основі відомих алгоритмів глибинного аналізу даних для пошуку частих предметних наборів AIS та Apriori було визначено можливі варіанти паралелізації, які позбавлені необхідності ітераційного сканування бази даних та великого споживання пам'яті. Досліджено можливість перенесення обчислень на різні платформи, які підтримують паралельну обробку даних. В якості обчислювальних платформ було обрано MapReduce – потужну базу для обробки великих, розподілених наборів даних на кластері Hadoop, а також програмний інструмент для обробки надзвичайно великої кількості даних Apache Spark. Проведено порівняльний аналіз швидкодії розглянутих методів, отримано рекомендації щодо ефективного використання паралельних обчислювальних платформ, запропоновано модифікації алгоритмів пошуку асоціативних правил. В якості основних завдань, реалізованих в роботі, слід визначити дослідження сучасних засобів розподіленої обробки структурованих і не структурованих даних, розгортання тестового кластера в хмарному сервісі, розробку скриптів для автоматизації розгортання кластера, проведення модифікацій розподілених алгоритмів з метою адаптації під необхідні фреймворки розподілених обчислень, отримання показників швидкодії обробки даних в послідовному і розподіленому режимах з застосуванням Hadoop MapReduce. та Apache Spark, проведення порівняльного аналізу результатів тестових вимірів швидкодії, отримання та обґрунтування залежності між кількістю оброблюваних даних, і часом, витраченим на обробку, оптимізацію розподілених алгоритмів пошуку асоціативних правил при обробці великих обсягів транзакційних даних, отримання показників швидкодії розподіленої обробки існуючими програмними засобами. Ключові слова: розподілена обробка, транзакційні дані, асоціативні правила, обчислюваний кластер, Hadoop, MapReduce, Apache Spark

Auditors' and Investors' Perceptions of the “Expectation Gap”

2001 ◽  
Vol 15 (4) ◽  
pp. 345-358 ◽  
Author(s):  
John E. McEnroe ◽  
Stanley C. Martens
Keyword(s):  
Empirical Studies ◽  
Primary User ◽  
Financial Statement ◽  
User Group ◽  
Accounting Profession ◽  
The Public ◽  
Government Accounting ◽  
Expectation Gap ◽  
The Difference

The auditing “expectation gap” refers to the difference between (1) what the public and other financial statement users perceive auditors' responsibilities to be and (2) what auditors believe their responsibilities entail. The notion of this divergence receives much attention in the accounting literature (i.e., Commission on Auditors' Responsibilities 1978; Guy and Sullivan 1988; AICPA 1993; U.S. Government Accounting Office 1996). Although prior empirical studies encompass certain expectations associated with a range of audit services, these papers often involve the opinions of bankers as the primary user group employed in the research (Nair and Rittenberg 1987; Lowe and Pany 1995). In contrast, this study extends the prior research by directly comparing audit partners' and investors' perceptions of auditors' responsibilities involving various dimensions of the attest function. We conducted the study to determine if an expectation gap currently exists and we find that it does; investors have higher expectations for various facets and/or assurances of the audit than do auditors. Our findings serve as evidence that the accounting profession should engage in appropriate measures to reduce this expectation gap.

CRUSTAL STRAIN IN THE PENNSYLVANIA PIEDMONT REVEALED BY LONG PROFILE MODELING AND ITS RELATION TO ACTIVE SEISMICITY

2020 ◽  
Author(s):  
Joshua M. Gonzales ◽  
◽  
Frank J. Pazzaglia ◽  
David J. Anastasio ◽  
Dru Germanoski ◽  
...  
Keyword(s):  
Crustal Strain ◽  
Profile Modeling

scholarly journals Power allocation and temporal fair user group scheduling for downlink NOMA

2021 ◽  
Author(s):  
Eray Erturk ◽  
Ozlem Yildiz ◽  
Shahram Shahsavari ◽  
Nail Akar
Keyword(s):  
Power Allocation ◽  
Group Scheduling ◽  
User Group

scholarly journals Clinical implementation of a 3D4K-exoscope (Orbeye) in microneurosurgery

2021 ◽  
Author(s):  
Judith Rösler ◽  
Stefan Georgiev ◽  
Anna L. Roethe ◽  
Denny Chakkalakal ◽  
Güliz Acker ◽  
...  
Keyword(s):  
User Satisfaction ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Intraoperative Complications ◽  
Rank Test ◽  
User Group ◽  
Clinical Implementation ◽  
Physical Strain ◽  
Conventional Microscope ◽  
The Impact

AbstractExoscopic surgery promises alleviation of physical strain, improved intraoperative visualization and facilitation of the clinical workflow. In this prospective observational study, we investigate the clinical usability of a novel 3D4K-exoscope in routine neurosurgical interventions. Questionnaires on the use of the exoscope were carried out. Exemplary cases were additionally video-documented. All participating neurosurgeons (n = 10) received initial device training. Changing to a conventional microscope was possible at all times. A linear mixed model was used to analyse the impact of time on the switchover rate. For further analysis, we dichotomized the surgeons in a frequent (n = 1) and an infrequent (n = 9) user group. A one-sample Wilcoxon signed rank test was used to evaluate, if the number of surgeries differed between the two groups. Thirty-nine operations were included. No intraoperative complications occurred. In 69.2% of the procedures, the surgeon switched to the conventional microscope. While during the first half of the study the conversion rate was 90%, it decreased to 52.6% in the second half (p = 0.003). The number of interventions between the frequent and the infrequent user group differed significantly (p = 0.007). Main reasons for switching to ocular-based surgery were impaired hand–eye coordination and poor depth perception. The exoscope investigated in this study can be easily integrated in established neurosurgical workflows. Surgical ergonomics improved compared to standard microsurgical setups. Excellent image quality and precise control of the camera added to overall user satisfaction. For experienced surgeons, the incentive to switch from ocular-based to exoscopic surgery greatly varies.

You'll never share alone: Analyzing carsharing user group behavior

2021 ◽  
Vol 93 ◽  
pp. 102754
Author(s):  
Felix Baumgarte ◽  
Tobias Brandt ◽  
Robert Keller ◽  
Felix Röhrich ◽  
Lukas Schmidt
Keyword(s):  
Group Behavior ◽  
User Group

Exploring User Information Needs in Online Pet Adoption Profiles

2020 ◽  
Vol 64 (1) ◽  
pp. 1308-1312
Author(s):  
Zoe M. Becerra ◽  
Sweta Parmar ◽  
Keenan May ◽  
Rachel E. Stuck
Keyword(s):  
Information Needs ◽  
Online Shopping ◽  
Physical Characteristics ◽  
User Needs ◽  
User Group ◽  
Animal Shelters ◽  
Types Of Information ◽  
The Right ◽  
And Behavior ◽  
Level Of Importance

With the increase of online shopping, animal shelters can use websites to allow potential adopters to view adoptable animals and increase the number of adoptions. However, little research has evaluated the information needs of this user group. This study conducted a user needs analysis to determine the types of information potential adopters want when searching for a new pet, specifically a cat or dog. Twenty-six participants ranked different behavioral and physical characteristics based on the level of importance and identified their top five overall characteristics. In general, cat adopters ranked the cat’s personality and behavior to be very important and dog adopters found physical characteristics highly important. This study shows the importance of understanding potential adopters’ needs to provide relevant and valued information on online pet adoption profiles. The recommendations and insights can be used to develop pet profiles that meet adopters’ needs and help adopters find the right pet.

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