This research paper is an attempt to explore unstructured data that has taken the world of data science by storm. Handling the unprecedented growth of unstructured data is a big challenge faced by most data scientists. This paper discusses about the types and sources of unstructured data and effective ways of processing and analysing this data.

2. INTRODUCTION Although enterprises commonly utilize sophisticated data integration technology and business intelligence tools for analysis of structured data, analysis of unstructured data is a separate process and is often limited to capabilities supported by a search engine. Users have separate and vastly different interfaces for structured and unstructured data: Business Intelligence for s...

In this paper we propose a new protocol for unstructured and semantic-searching based p2p networks: Bittella. It forms a three level overlay network: the lower level is the unstructured p2p network (e.g. Gnutella). The medium level is formed by clusters per content, we call the resulting structure Small World per Content structure. This level allows the utilization of Bittorrent-like download t...

This paper proposes a design method of STC for discrete unstructured systems based on D-L networks. The proposed scheme determines the control input composed of arbitrary system matrices of constructed D-L networks, and thus it makes it possible to design the STC for unstructured systems whose priori knowledges are not available. The simulation results show that the proposed scheme provides sat...

By adopting the theory of planned behavior, this study tried to predict human resources managers' (N = 79) intentions toward unstructured and structured interview techniques. Managers evaluated case descriptions of both techniques and were interviewed about their own practices. The data revealed stronger intentions toward unstructured interviewing than toward structured interviewing, which was ...

We compare structured and unstructured overlays and derive a hybrid overlay that can outperform both. Unstructured overlays build a random graph and use flooding or random walks on that graph to discover data stored by overlay nodes. Structured overlays assign keys to data items and build a graph that maps each key to the node that stores the corresponding data. Unstructured overlays are widely...

In this paper we identify important classes of program control flows in applications targeted to commercially available graphics processing units (GPUs) and characterize their presence in real workloads such as those that occur in CUDA and OpenCL. Broadly, control flow can be characterized as structured or unstructured. It is shown that most existing techniques for handling divergent control in...

A new method to generate coarse meshes for overlapping unstructured multigrid algorithm based on self-organizing map (SOM) neural network is presented in this paper. The application of SOM neural network can overcome some limitations of conventional methods and which is designed to pursuit the best structure relation between fine and coarse unstructured meshes with the object to ensure robust c...

Electronic health records capture patient information using structured controlled vocabularies and unstructured narrative text. While structured data typically encodes lab values, encounters and medication lists, unstructured data captures the physician's interpretation of the patient's condition, prognosis, and response to therapeutic intervention. In this paper, we demonstrate that informatio...

Unstructured categories are those in which the stimuli are assigned to each contrasting category randomly, and thus there is no ruleor similarity-based strategy for determining category membership. Intuition suggests that unstructured categories are likely to be learned via explicit memorization that is under the control of declarative memory. In contrast to this prediction, neuroimaging studie...