Green data mining

Economic Geology ;; 4 : — Logging of exploration drill holes is a routine practice, and its accuracy is essential for resource evaluation and planning in the minerals industry. Logged compositions record a set of material types with standardized mineralogy and texture characteristics. The material types logged may vary due to diversity in mineralization and geology, but also due to subjective biases and human error, leading to significant challenges for the industry. Thus, there is a need to validate the field logging whereby the material types and their percentages are adjusted to reconcile with laboratory assay values while retaining the physical characteristics and geologic context. The AVA modifies the material types selected in the logged composition and their percentages according to geologic rules learned in the training process and proposes to the geologist a number of validated compositions with optimized geochemistry and mineralogical hardness, while also considering visible properties such as chip shape and color.

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Content:

• Data Mining the City: User Demands through Social Media
• Data Analytics
• Machine Learning
• Data storage, mining and wind: oceans seen as new frontier but at what cost?
• Principles of Green Data Mining
• Green Mining – A Holistic Concept for Sustainable and Acceptable Mineral Production
• Communications Data Mining: the three chosen startups

WATCH RELATED VIDEO: Data Mining #1 / Задачи Data Mining [Технострим]

Data Mining the City: User Demands through Social Media

Digital Fingerprinting Technology enables the content owner to exercise control on their copyrighted content by effectively identifying, tracking, monitoring and monetising it across distribution channels web, broadcast, radio, streaming, etc. In a fingerprinting algorithm, a large data item.

Referral traffic is a Web term, used to denote incoming traffic on a website as a result of clicking on a URL on some other site, which is known as a referring site. Referring traffic always has a referrer website, from which this stream of traffic originates.

Technically, any domain that originates and redirects traffic to your domain is known as a referring site. Using referral traffic, one can. Entrances are popularly also known as Entrance points.

These are the number of entries by visitors into the pages of a website. Entrance Paths give an important insight into how the websites landing pages are performing. Description: When we look at all the website pages for a perspective. Annotation enables anyone to comment or add notes in Google Analytics, which can refer to specific dates or events. It allows marking up specific dates on the Google Analytics page. One can make notes or annotations directly in the Google Analytics account.

Annotations added onto the interface can have customised privacy options. One can either choose the note to public or shared with all Google A. In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields, like science and research.

As an application of data mining, businesses can learn more about their customers and develop more effective strategies. By definition, this means the number of single-page visits by visitors of your website. Bounce rate in terms of website traffic lets you know about the visitors who arrive on your website and leave without initiating any other action or event, like visiting a second page.

He came, he saw and he went somewhere else. The visitor enters the website on the entrance page or the landing page. These visi. UTM codes are one of the ways to track performance from any digital marketing campaign. Description: The data can be tracked in Google Analytics through a source. Google AdWords is one of the services advertisers use for online promotion of their content, brand, website, etc through certain defined keywords to achieve traffic or leads. It is a form of brief advertising copy with keywords that are displayed on Google web pages and partner websites called publishers after matching their content with the keywords.

Description: By matching relevant adverti. Traffic source in the simplest form can be defined as the origin through which people found your site. Every session or visit to your website has origin or source of the hit. Description: Understanding traffic.

Nifty 17, Policy Bazaar Market Watch. Budget ET NOW. Suggest a new Definition Proposed definitions will be considered for inclusion in the Economictimes. Bounce Rate Definition: By definition, this means the number of single-page visits by visitors of your website. These visitors view only that single page and exit the site on that same page. For example, around visitors read a particular news story yesterday, out of which 75 went to other pages while 25 did not.

Bounce rates are often used for measuring the performance of e-mails, websites, advertising campaigns, and particular landing pages. Bounce rate is measured in percentage. Hence navigated away from your website. Average session times out after 30min. But it was temporarily rejected by the mail server due to reasons like - mailbox was full, a server was down etc.

And the message has been permanently rejected by the mail server. Digital Fingerprinting Definition: Digital Fingerprinting Technology enables the content owner to exercise control on their copyrighted content by effectively identifying, tracking, monitoring and monetising it across distribution channels web, broadcast, radio, streaming, etc.

In a fingerprinting algorithm, a large data item audio or video or any files maps to a much shorter bit string, i. Description: Fingerprinting algorithm is based on a variety of content properties frame snippets, motion and music changes, the camera cuts, brightness level, object movements which are used for creating a digital asset reference along with content metadata and storing it in the database repository.

Digital Fingerprinting Workflow: The process involves content owners register their content for fingerprinting and creating reference digital representation of the content which is used for future comparisons.

The steps follows are: i Extraction of unique characteristics- fingerprint of digital content and submission to rights, registry along with metadata of the file.

Common Fingerprinting Algorithms: 1 Rabin's fingerprinting algorithm. This company claims that its CopySense technology can identify the source of a video clip within five seconds of playback and can identify an audio file within 10 seconds.

The company also claims its software can recognize a piece of media which contains recorded off a movie theatre screen with a handheld camera. The identification is based on the perceptual characteristics of audio and video as described by the company. The system can see past transformative changes to audio and video files like transcoding among file formats, equalizing of audio, cropping of an image or even blurring of a picture for analysing it.

Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner.

This helps businesses be closer to their objective and make better decisions. Data mining involves effective data collection and warehousing as well as computer processing.

For segmenting the data and evaluating the probability of future events, data mining uses sophisticated mathematical algorithms. Database Size: For creating a more powerful system more data is required to processed and maintained. Query complexity: For querying or processing more complex queries and the greater the number of queries, the more powerful system is required.

Uses: 1. Data mining techniques are useful in many research projects, including mathematics, cybernetics, genetics and marketing. The retailer could also develop products and promotions to appeal to specific customer segments based on mining demographic data from comment or warranty cards. Related Definitions. Mail this Definition.

Data Analytics

The goals of green computing are similar to green chemistry : reduce the use of hazardous materials, maximize energy efficiency during the product's lifetime, the recyclability or biodegradability of defunct products and factory waste. Green computing is important for all classes of systems, ranging from handheld systems to large-scale data centers. Many corporate IT departments have green computing initiatives to reduce the environmental effect of their IT operations. In , the U. Environmental Protection Agency launched Energy Star , a voluntary labeling program that is designed to promote and recognize the energy efficiency in monitors, climate control equipment, and other technologies.

Machine Learning

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Data storage, mining and wind: oceans seen as new frontier but at what cost?

Khalili, J. International Journal of Supply and Operations Management , 5 2 , Javad Khalili; Alireza Alinezhad. International Journal of Supply and Operations Management , 5, 2, , International Journal of Supply and Operations Management , ; 5 2 :

Principles of Green Data Mining

Democracy, Digital, European Green Deal. Concretely, Asian and U. The paper looks at the legal complexity and red tape facing European scholars in the area, and call for wholesale reform. Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Green Mining – A Holistic Concept for Sustainable and Acceptable Mineral Production

Information technologies are commonly used in architectural and urban design. The use of these technologies providing support at every stage of the design opens up different perspectives for designers and users. The aim of the study is to obtain user demands for green spaces of a specific district by mining data through social media and to detect the actual green spaces of the same district using applications developed for this purpose. User demands for design decisions and applications of green spaces and the current situation of the study area are evaluated. Secondly, all green areas in the same district are detected by using digital maps. Two applications are specifically designed for this research; Tweet Grabber is used for user sentiment analysis on social media and Map Grabber is processed for extraction of green spaces via maps. The total area of the green spaces is compared with the desired area of open and green spaces per user. The user demands and thoughts obtained in the study about the green spaces of the district are compatible with the actual situation of green spaces.

Communications Data Mining: the three chosen startups

Data mining is a technique used to extract useful information from a large number of datasets. A good understanding of the updated data mining techniques and the ability to use effectively is increasingly important for data-intensive manufacturing operations. This training is targeted towards manufacturing companies and companies in other industries which are data rich but information poor. It aims to provide the trainees understanding of up-to-date data mining technologies, build a fundamental about data analytics and data mining techniques for various applications such as process optimisation, correlation analysis for major factor identification, product quality improvement and many more.

The conference aims at bringing together the experts on data mining from around the world and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, biomedical science and green computing. ADMA will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer-review process. We invite authors to submit papers on topics of data mining and applications, including but not limited to: Data Mining Theory: 1. Data mining foundations; 2. Grand challenges of data mining; 3.

The operational energy consumption of buildings often does not match with the predicted results from the design. One of the most dominant causes for these so-called energy performance gaps is the poor operational practice of the heating, ventilation and air conditioning HVAC systems. To improve underperforming HVAC systems, analysis of operational data collected by the building management system BMS can provide valuable information. In order to completely use and interpret operational data, the building sector is urging for methods and tools. Data mining DM is identified as an emerging powerful technique with great potential for discovering hidden knowledge in large data sets. This leads to valuable insights to control and improve the building energy performance.

Skip to search form Skip to main content Skip to account menu You are currently offline. Some features of the site may not work correctly. DOI: Seidel Published in HICSS 8 January Computer Science This paper develops a set of principles for green data mining, related to the key stages of business understanding, data understanding, data preparation, modeling, evaluation, and deployment.