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Product Recommendation System Based on Personal Preference Model Using CAM
CAM法を用いた個人嗜好モデルに基づく商品推薦システム

Tomoko Murakami, Nobukazu Yoshioka, Ryohei Orihara, Koichi Furukawa
2005 Transactions of the Japanese society for artificial intelligence  
Product recommendation system is realized by applying business rules acquired by data maining techniques.  ...  In addition to that, it is very costly to gather the large volume of high quality survey data, which is necessary for good recommendation based on personal preference model.  ...  Riedl: Recommender Systems in Commerce and Community, In proc. of Int. Conf. on Knowledge Discovery and Data Mining, pp.15, (2001) [Salton 97] G.  ... 
doi:10.1527/tjsai.20.346 fatcat:tbfn6y6rtfbnbnv7fxy55fychm

Opinion Mining for the Customer Feedback using TextBlob

Praveen Gujjar J, Prasanna Kumar H R
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
User generated data are very essential to analyze for business decision making. TextBlob is one of the simple API offered by python library to perform certain natural language processing task.  ...  The paper includes advantages of the proposed technique and concludes with the challenges for the marketers when using this technique in their decision-making.  ...  Praveen Gujjar J et al Int J Sci Res CSE & IT, July-August-2020; 6 (4) : 72-76  ... 
doi:10.32628/cseit206418 fatcat:yf67hairdjexpoejet3duhxj3y

Data Mining Approach of Text Classification and Clustering of Twitter Data for Business Analytics

P. Meghanasree, S. Gopi Krishna
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Several metrics in classification and clustering of data were used for analysis.  ...  The increasing popularity of micro-blogging sites like Twitter, which facilitates users to exchange short messages (tweets) is an impetus for data analytics tasks for business development.  ...  Gonçalves, M.methods," EPJ Data Sci., vol. 5, no. 1, 2016. [4]. A. Moreno and T. Redondo, "Text Analytics: the convergence of Big Data and Artificial Intelligence," Int. J. Interact. Multimed. Artif.  ... 
doi:10.32628/cseit195429 fatcat:fabq4ttwo5aitixc6sco4n376m

A Proposed Framework for Detecting and Predicting Diseases through Business Intelligence Applications

Soha Ahmed, Ahmed Ibrahim El Seddawy, Mona Nasr
2019 International journal of advanced networking and applications  
short period by utilizing Business Intelligence 'BI' which is a data-driven Decision Support System.  ...  This introduction highlights the main importance of how to apply the business intelligence applications using data mining techniques to help medical professionals in healthcare sector rapidly diagnosing  ...  This research shows how the early detection and prediction framework can reduce morbidity & mortality, therefore the overall costs of treatments and budget of the healthcare sector will be reduced.  ... 
doi:10.35444/ijana.2019.10047 fatcat:3cbb63xjingzxeyzrpq4zyc3ee

Hybrid Data Warehouse Development Method

Pooja D. Kavishwar, Dr. S. R. Pande
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Which in turn could be developed into a physical model and can be populated by data for Mining and Analysing.  ...  This Hybrid multi-dimensional Data model is a combination of Data driven methodology with Business driven which is Goal- driven methodology.  ...  Kavishwar et al Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, September-October-2021, 7 (5) : 09-15 Volume 7, Issue 5, September-October-2021 | http://ijsrcseit.com Pooja D.  ... 
doi:10.32628/cseit21752 fatcat:dbtlego3y5gxnkbwpg3clzyd2q

Front Matter: Volume 9499

2015 Next-Generation Analyst III  
The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters.  ...  SPIE uses a six-digit CID article numbering system in which: The first four digits correspond to the SPIE volume number.  ...  Del Vecchio, J. Chaves, A. Czerniejewski, G. Tauer, R. Brown, T. Perkins, C. Armstrong, and R. Rudnicki) • Intelligence reach for expertise (IREx) (C. Hadley, J. Schoening, and Y.  ... 
doi:10.1117/12.2199167 fatcat:msaxhw2lxzcgzob2sgfveyr6y4

Practical Application in Development and Use of Mining Tools with Total Environment for Text Data Mining
統合環境TETDMを用いたマイニングツールの開発と利用の実践

Wataru Sunayama, Yasufumi Takama, Yoko Nishihara, Tomoki Kajinami, Muneo Kushima, Hidekazu Tokunaga
2014 Transactions of the Japanese society for artificial intelligence  
In this challenge, we develop and distribute an integrated environment to flexibly combine multiple text mining techniques.  ...  Text mining techniques include numerous tasks such as salient sentence extraction, keyword extraction, topic extraction, textual coherence evaluation, multi-document summarization, and text clustering.  ...  Witten, The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1, (2009). [ 11] Vol.52, No.12, pp.3135-3149, (2011). [Highsmith 01] J. Highsmith and A.  ... 
doi:10.1527/tjsai.29.100 fatcat:flteyydqijcxdpyhmowl3m5xyi

Current Issue: August 2020, Volume 12, Number 4 --- Table of Contents

Sandhya Rani Kourla
2020 Zenodo  
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems.  ...  The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.  ...  Data warehouse and big data integration. Int. Journal of Comp. Sci. and Inf. Tech, 9(2), 1-17. [17] Chen, C., Pullen, D., Petty, R. H., & Talburt, J. R. (2015, November).  ... 
doi:10.5281/zenodo.4014908 fatcat:pvylkuj2trf7jojv7m6gknlaeu

Big Data Analytics in the Marketing of Automotives

Vishnu T B, Hemalatha Dr.
2018 IJARCCE  
However, there are so much potential and highly useful values hidden in the huge volume of data.  ...  the very core of existing business models.  ...  In the field of commerce and business, According to estimates, the volume of business data worldwide, across almost companies, doubles every 1.2 years.  ... 
doi:10.17148/ijarcce.2018.71218 fatcat:565u7gmrkjb4hhev6jve7bjxny

Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

Eduardo Luis Casarotto, Guilherme Cunha Malafaia, Marta Pagán Martínez, Erlaine Binotto
2021 Journal of Intelligence Studies in Business  
Solutions such as cloud computing, theInternet of Things, and artificial intelligence provide and benefit from a vast generation of data:large data sets called Big Data.  ...  We advocated that the use ofBig Data and the competitive intelligence process could help generate or maintain a competitiveadvantage for organizations.  ...  idAtual=1&i dTela=25. Accessed March 10, 2018.Adrian, C., Abdullah, R.,Atan, R., & Jusoh, Y. Y. Int. J. Adv. Soft Compu.  ... 
doi:10.37380/jisib.v1i1.691 fatcat:ogci4hw3xjew7lliedhllsk3s4

Customer reviews analytics on food delivery services in social media: a review

Noor Sakinah Shaeeali, Azlinah Mohamed, Sofianita Mutalib
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
vector machine (SVM), and text mining.  ...  Therefore, customer analytics have been considered in business analysis by enabling businesses to collect and analyse customer feedback to make business decisions to be more advanced in the future.  ...  ACKNOWLEDGEMENTS We would like to express our thanks to the Faculty of Computer and Mathematical Sciences, UiTM for support rendered thus far, Institute of Graduate Study, UiTM for funding and to anonymous  ... 
doi:10.11591/ijai.v9.i4.pp691-699 fatcat:y5gflljxhrfltasb7com7p3mau

Enterprise Decision-Making and Analysis Based on E-Commerce Data Mining

Xiaozhi Wang, Jieqiong Huang, Deepak Kumar Jain
2022 Wireless Communications and Mobile Computing  
trends, greatly improve the business intelligence analysis of e-commerce enterprises, and make enterprises have greater advantages in market competition.  ...  This paper explains some important methods related to data mining and designs a data mining system. One of the systems can help e-commerce decision-makers analyze and predict data.  ...  Data mining can combine the knowledge of database, artificial intelligence, statistics, and other fields to sort out, summarize and mine the huge transaction data of e-commerce, extract the potentially  ... 
doi:10.1155/2022/9493775 fatcat:cpl42f24prcqliepqoc2zgeajm

Challenges and Cloud Computing Environments Towards Big Data

Kiran Kumar S V N Madupu
2014 International Journal of Scientific Research in Science Engineering and Technology  
Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data.  ...  Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.  ...  January-February-2014; 1 (1) : 203-208 Kiran Kumar S V N Madupu Int J Sci Res Sci Eng Technol. January-February-2014; 1 (1) : 203-208  ... 
doi:10.32628/ijsrset207277 fatcat:v4phy2cuczfrdkituy7cfjv4ey

The Role of Medical Big Data and Artificial Intelligence in the Diagnosis of Knee Osteoarthritis with Cardiovascular and Cerebrovascular Diseases

Xin Huan, Pan Wan, Yonghuan Zhou, Rashid A Saeed
2022 Wireless Communications and Mobile Computing  
To this end, this article proposes to improve data mining methods and proposes a comprehensive analysis of patient data in the field of artificial intelligence for intelligent diagnosis and treatment so  ...  The experimental results in this article show that the improved data mining speed has increased by 17%, the data integrity has increased by 31%, and the proportion of valid data has also increased by 23%  ...  The probability-based interest model is as follows: Int X ⇒ Y ð Þ= 1 − P Y ð Þ 1 − P X ð Þ ð Þ1 − P Y X j ð Þ ð Þ : ð10Þ The difference-based interest model is as follows: Int X ⇒ Y ð Þ= Conf X ⇒ Y ð Þ  ... 
doi:10.1155/2022/1839280 fatcat:dmnuxxnmx5egpo22ccctszasse

Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

Gökhan Demirdöğen, Zeynep Işık, Yusuf Arayici
2022 Applied Sciences  
In this context, business intelligence and analytics (BI&A) techniques can provide a promising opportunity to elaborate facility performance and discover measurable new FM key performance indicators (KPIs  ...  The use of digital technologies such as Internet of Things (IoT) and smart meters induces a huge data stack in facility management (FM).  ...  Business Intelligence through Big Data Analytics, Data Mining and Machine Learning. In Data Management, Analytics and Innovation; Springer: Singapore, 2019; pp. 217–230. [CrossRef] 45.  ... 
doi:10.3390/app12020651 fatcat:jscjgtsdlvfzxfnlci3rd6ci34
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