*Mining and quarrying; Manufacturing; Electricity, gas and water **Wholesale and retail trade; Hotels and restaurants;
Pressure on local road infrastructure from heavy vehicle transport (e g. agricultural, forestry and mining related traffic
development of the mining and metallurgy industries in Hunedoara and Caras-Severin. This was complemented by non-ferrous minerals, further north around Brad (Turnock, 2001) 16.
While mining remains important in the region today, the remaining coal pits struggle to stay economically viable
This in turn fuelled the development of the mining and metallurgy industries in these counties, a specialization that was reinforced through the mono-industrial development strategies of
the cultural identity of their area †forestry and mining in Hunedoara; mining and metals (as well as
wood products) in Caras-Severin. On the other hand, it is noteworthy that the motor vehicles sector, as well as other manufacturing sectors, are among the leading areas of specialization
30 Other Transport Equipment 3. 5 07 Mining Metal Ores 3. 3 31 Furniture Manufacturing 2. 5 16 Wood and Wood Products 3. 1
08 Other Mining 2. 7 15 Leather Products (Footwear) 3. 0 29 Motor vehicles 2. 6 22 Rubber and Plastics 2. 6
Mining of coal and lignite 1. 0 0. 6 4. 2 3. 9 Construction of buildings 5. 5 2. 6 5. 4 3. 7
solutions for the mining areas (see chapter 5 and annex 2 Automotive sector Increasing participation in European
Pilot initiative on development solutions for the mining areas 188. Against this background, increasing overall R&d expenditure to reach the target of 2
solutions for the mining areas An innovation center for green energies and energy efficiency Regional center for wood
development solutions for the mining areas. These investment projects have not been appraised nor endorsed by the World bank.
the mining areas Regional stakeholders and policy makers could launch a pilot initiative to support the
economic development of the mining and industrial regions. In initial phase a task force can be setup to identify
Pilot initiative on development solutions for the mining areas, not only for Jiu Valley, can be promoted
 mining  etc   •†Robotics   •†Intelligent  infrastructures
the Mining Technology Innovation Centre in Mackay; the Remote Enterprise Centre in Alice Springs; and the Defence
C. Mining and quarrying D. Manufacturing E. Electricity, gas and water supply F. Construction G. Wholesale and retail trade;
Martinez-Fernandez, C. 2005), Knowledge Intensive Service Activities (KISA) in Innovation of Mining Technology Services in Australia, University of Western Sydney, Sydney
-ture, fishing and mining. The secondary or industrial sector takes the output of the primary sector and produces finished goods
Mining multilevel image semantics via hierar -chical classiï cation. IEEE Transactions on Multimedia 10 (2), 167†187 (2008
contemporary issues †from mining regulations to urban migration †and the dissemination of contemporary film and culture
knowledge and mining its practical and commercial results for industrial and financial 8 See http://online. wsj. com/article/SB10001424052970204879004577107190097493490. html
focused on sentiment analysis, opinion mining, and recommender systems (for details we refer the reader to the Chap. 4
Opinion Mining Social media Analytics Recommender systems †Riskanalysis Fraud detection Threat Analysis Credit scoring Fraud detection
Analytics •Mining of event-stream data •Real-time execution of business rules Adapted from 4
sentiment analysis and opinion mining, as well as a model for market monitoring In addition the Chapter introduces the reader to social sensing as a specific con
text-based and network-based mining The former evaluates the significance of the information or the source only relying on
thus, supporting sentiment analysis or opinion mining as the key activities to find and monitor in real time authors of specific contents
In the last few years new weaknesses related to the mining techniques with key words have been pointed out,
capabilities and mining tools with lexical integration through instruments such as e g.,, Wordnet 20, reducing the potential threat described above.
sentiment analysis and opinion mining, in addition to advanced models for market monitoring, have been described as well. In this Chapter, we have further dis
•constantly monitor through mining and intelligence techniques the development and evolution of the company perception by inner and outer context usersâ€
Pang B, Lee LC-1454712 (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2:
Tsytsarau M, Palpanas T (2011) Survey on mining subjective data on the web. Data Min
Jindal N, Liu B (2006) Mining comparative sentences and relations. In the 21st national conference on Artificial intelligence (AAAI2006) Volume 2 (pp 1331†1336.
Opinion mining, 67,69, 71,72, 75,77, 85 Opinion search, 71 Opinion spam, 77,78 P Pagerank, 69
agriculture, power generation, mining, and transport infrastructure •Improved health. A high-quality natural environment improves the productivity of the
mining operations, and the construction of infrastructure and housing. Balancing economic development and sustainability is particularly challenging for a country
which continues to rely heavily on mining. Overall weaknesses in its educational sector (134th), which does
Leber, J. 2012. â€oebig Oil Goes Mining for Big data. †MIT Technology Review, May 8. Available at http://www. technologyreview. com
mining and business intelligence, all of which sought to transform raw data into meaningful information for business purposes (Figureâ 1
Dataâ mining Telematics Predictiveâ modeling Discrete -event simulation Businesssâ intelligence Machineâ learning Speechâ recognition Textâ mining
Videoâ analysis Contextualâ marketing Userâ activityâ tracking Real-timeâ analytics Advancedâ analytics Socialâ media monitoring
4=large call record datasets, 5=reality mining, 6=social evolution, 7=friends and family, 8=sociometric badge studies, 9=the D4d dataset,
Pentland, A. 2009. â€oereality Mining of Mobile Communications: Toward a New deal on Data. †In The Global Information technology
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