ICCBD

People in social media post massive amounts of different types of data including text messages, photos, and links. They share their personal opinions, feelings, and even their health status. The high volume of health-related tweets can be used as a tool ...

With the growing enhancement of technology and the Internet, the number of people who are using the Internet is increasing daily. Users are engaged in web searching and accessing different types of websites, such as social media, banking, etc. As a ...

Currently, vehicle traffic is one of the major problems in Mexico City. Two factors which contribute to this problem are the government transport policies and the disproportionate growth in the number of automobiles. In this paper, we propose a system ...

In May 2019, the ICC 2019 Cricket World Cup is the 12th edition of the cricket World Cup and is scheduled to be hosted by England and Wales. This research work is trying to predict the winner of the 12th version of ICC world cup using intelligent KNN ...

Visual analytics becomes an important approach for discovering patterns in big data. As visualization struggles from high dimensionality of data, issues like concept hierarchy on each dimension add more difficulty and make visualization a prohibitive ...

We have proposed an improved Apriori algorithm based on comparing different data structures to obtain a better and improved performance level than presently available approaches. Our approach is to apply on large transaction data where space and time ...

Mining social media is a popular strategy to revitalize any business. The social media lodges colossal amount of user spawn data which can be used for data mining. The purpose of this research paper is to develop a feature-based software model to ...

This paper puts forward a method to construct a certain database for the process of solder paste defect inspection to sort and process various kinds of printing defect information, and realizes the data monitoring by Statistical Process Control (SPC) ...

Query expansion has been a field of interest within the field of information retrieval for quite some time. We propose a novel approach for expanding queries on microblogs, using a word2vec-Urban Dictionary hybrid model built on a prior collection of ...

Apache Spark is a framework that being increasingly used in distributed data processing. However, the performance of a Spark application can vary considerably depending on many factors, including the input data, implementation of the program, Spark ...

Conditional Generative Adversarial Nets [1](cGAN) was recently proposed as a novel conditional learning method by feeding some extra information into the network. In this paper we propose an improved conditional GANs which use divided z-vector (DzGAN). ...

Sarcasm is an important aspect of human communication. However, it is often difficult to detect or understand this sentiment because the literal meaning conveyed in communication is opposite of the intended meaning. Though the field of sentiment ...

Computational technologies have offered faster and efficient solutions to many diverse areas including the financial sector. In the financial market, the advancements in computational field have been mainly achieved through the use of neural networks ...

In this research, an automated method is proposed for Brain tumor classification into four different types which is an important step in brain tumor diagnosis. Most of the recent research studies focus on binomial classification of brain MR image into ...

Universities pay serious attention to a wide variety of rankings in comparison with other national or international universities. Such ranking is used for peer comparisons, funds' acquisition and distribution, hiring, recruiting, and more. Several ...

In this paper, we propose a ubiquitous system called ABLM (Autonomous Book Location Management) for managing book locations in big libraries. This comprehensive system uses affordable devices such as Raspberry Pi with cameras to monitor book locations ...

Traffic volume prediction has been a hot spot of the realm of data mining owing to its scientific nature and practical value. The prediction needs an integrated model of linear regression, SARIMA, random forest, KNN, GBDT and the method of weight ...

The paper reviews what the Julia programming language is and its staying power relative to other popular programming languages. The following focuses on two popular programming languages (C programming and Python programming) to obtain a deeper ...

In the modern paradigm of IOT "Internet of Things" and big data, we deal with augmented volume of information on regular basis. Due to advancement in the data flow, there is a fair chance of data loss and its misuse. To manage this, it is usually ...