A survey of open source tools for machine learning with big data in the Hadoop ecosystem
S Landset, TM Khoshgoftaar, AN Richter, T Hasanin - Journal of Big Data, 2015 - Springer
With an ever-increasing amount of options, the task of selecting machine learning tools for
big data can be difficult. The available tools have advantages and drawbacks, and many …
big data can be difficult. The available tools have advantages and drawbacks, and many …
[HTML][HTML] Reference architecture and classification of technologies, products and services for big data systems
P Pääkkönen, D Pakkala - Big data research, 2015 - Elsevier
Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …
Data-driven techniques in disaster information management
Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …
the huge toll caused by man-made and nature calamities. Data-driven disaster management …
大数据时代的数据挖掘——从应用的角度看大数据挖掘
李涛， 曾春秋， 周武柏， 周绮凤， 郑理 - 大数据, 2015 - infocomm-journal.com
介绍了大数据时代数据挖掘的特点, 任务及难点, 分析了大数据挖掘的核心架构,
提出大数据的核心和本质, 即应用, 算法, 数据和平台4 个要素的有机结合. 在此基础上介绍了本 …
提出大数据的核心和本质, 即应用, 算法, 数据和平台4 个要素的有机结合. 在此基础上介绍了本 …
Factorized similarity learning in networks
The problem of similarity learning is relevant to many data mining applications, such as
recommender systems, classification, and retrieval. This problem is particularly challenging …
recommender systems, classification, and retrieval. This problem is particularly challenging …
Knowledge guided hierarchical multi-label classification over ticket data
Maximal automation of routine IT maintenance procedures is an ultimate goal of IT service
management. System monitoring, an effective and reliable means for IT problem detection …
management. System monitoring, an effective and reliable means for IT problem detection …
An effective classification-based framework for predicting cloud capacity demand in cloud services
The rapid development of pay-as-you-go cloud services motivates the increasing number of
cloud resource demands. However, the volatile demands bring new challenges for current …
cloud resource demands. However, the volatile demands bring new challenges for current …
Secure data mining in cloud using homomorphic encryption
D Mittal, D Kaur, A Aggarwal - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
With the advancement in technology, industry, e-commerce and research a large amount of
complex and pervasive digital data is being generated which is increasing at an exponential …
complex and pervasive digital data is being generated which is increasing at an exponential …
[PDF][PDF] Real time contextual collective anomaly detection over multiple data streams
Anomaly detection has always been a critical and challenging problem in many application
areas such as industry, healthcare, environment and finance. This problem becomes more …
areas such as industry, healthcare, environment and finance. This problem becomes more …
[PDF][PDF] FbMapping: An automated system for monitoring Facebook data
In recent modernized era, the number of the Facebook users is increasing dramatically.
Moreover, the daily life information on social networking sites is changing energetically over …
Moreover, the daily life information on social networking sites is changing energetically over …