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Deep machine learning and neural networks: An overview
Deep learning is a technique of machine learning in artificial intelligence area. Deep
learning in a refined" machine learning" algorithm that far surpasses a considerable lot of its …
learning in a refined" machine learning" algorithm that far surpasses a considerable lot of its …
Technology in the 21st century: New challenges and opportunities
J Sheng, J Amankwah-Amoah, X Wang - Technological Forecasting and …, 2019 - Elsevier
Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …
growing attention of both academics and practitioners, a lack of clarity persists about how …
Big data: A survey
In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …
the general background of big data and review related technologies, such as could …
Toward scalable systems for big data analytics: A technology tutorial
Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …
(eg, health care and scientific sensors, user-generated data, Internet and financial …
Weighted pagerank algorithm
W **ng, A Ghorbani - Proceedings. Second Annual …, 2004 - ieeexplore.ieee.org
With the rapid growth of the Web, users easily get lost in the rich hyper structure. Providing
the relevant information to users to cater to their needs is the primary goal of Website …
the relevant information to users to cater to their needs is the primary goal of Website …
[کتاب][B] Temporal data mining
T Mitsa - 2010 - taylorfrancis.com
From basic data mining concepts to state-of-the-art advances, this book covers the theory of
the subject as well as its application in a variety of fields. It discusses the incorporation of …
the subject as well as its application in a variety of fields. It discusses the incorporation of …
Predicting students' performance using ID3 and C4. 5 classification algorithms
K Adhatrao, A Gaykar, A Dhawan, R Jha… - arxiv preprint arxiv …, 2013 - arxiv.org
An educational institution needs to have an approximate prior knowledge of enrolled
students to predict their performance in future academics. This helps them to identify …
students to predict their performance in future academics. This helps them to identify …
An efficient CRM-data mining framework for the prediction of customer behaviour
TF Bahari, MS Elayidom - Procedia computer science, 2015 - Elsevier
CRM-data mining framework establishes close customer relationships and manages
relationship between organizations and customers in today's advanced world of businesses …
relationship between organizations and customers in today's advanced world of businesses …
Mining interesting knowledge from weblogs: a survey
Web Usage Mining is that area of Web Mining which deals with the extraction of interesting
knowledge from logging information produced by Web servers. In this paper we present a …
knowledge from logging information produced by Web servers. In this paper we present a …
[کتاب][B] Pattern recognition algorithms for data mining
This valuable text addresses different pattern recognition (PR) tasks in a unified framework
with both theoretical and experimental results. Tasks covered include data condensation …
with both theoretical and experimental results. Tasks covered include data condensation …